# Project export: Echoes of Time

This document was generated by HackStack to give an AI agent context about a hackathon project. Sections are labeled with their provenance; content marked as truncated was cut to keep this document small.

## Project metadata

- Hackathon: UC Berkeley AI Hackathon 2025
- Tagline: Ever wondered what your daily life sounds like? Well, wonder no more. Your personal soundtrack is here! Get ready to add a fresh beat to your everyday vibe!
- Devpost: https://devpost.com/software/echoes-of-time-jy856f
- GitHub: https://github.com/Girlcoding22/SSG_CalHacks2025
- Video: https://www.youtube.com/embed/cFs8sB9djiM?enablejsapi=1&hl=en_US&rel=0&start=&version=3&wmode=transparent
- Team: 3 GitHub contributor(s) — Sami Khayatei Houssaini (29 commits), Girlcoding22 (27 commits), Suraj Vinaykumar (2 commits)

## Devpost submission (written by the team)

### Inspiration

The inspiration for Echoes of Time came from the Gemini Workshop during the hackathon, which motivated us to explore the creative potential of Google's multimodal AI. We reflected on a universal human experience: capturing life's precious moments through video. Whether it's a thrilling concert, a family beach vacation, or any meaningful experience, we all document these memories through our cameras. This led us to an interesting observation—people often say life is like a TV show. But what's missing from our personal "shows"? A soundtrack! While we have the visuals captured, we rarely have music that perfectly complements the mood and atmosphere of our recorded memories. Echoes of Time bridges this gap by generating personalized songs that match the essence of your captured moments. What It Does Echoes of Time transforms your everyday videos into personalized musical experiences. Users simply upload a video from their day, and our application analyzes the content to generate a custom song that captures the mood, atmosphere, and emotions of that moment. The result is a unique soundtrack that brings your memories to life. How We Built It Our solution leverages Google Cloud Platform throughout the entire pipeline: Multimodal Analysis: We utilize Gemini's advanced multimodal capabilities to separately analyze both the audio and visual components of uploaded videos, generating detailed descriptions of the emotional undertones and contextual elements. Intelligent Processing: A secondary Gemini instance acts as an AI judge, comparing the audio and video descriptions for consistency. When descriptions align, it creates a unified summary; when they diverge, it prioritizes the video analysis to ensure accuracy. Song Generation: A third Gemini instance transforms our refined content summary into detailed song specifications, which are then processed through Lyria's API to generate the actual audio track returned as base64-encoded MP3 files. Backend Infrastructure: We built a robust Node.js and Express.js server to handle media uploads and processing, ensuring smooth user experience while managing computational overhead. Challenges We Overcame API Limitations: Working with Lyria's cutting-edge but nascent API presented unique challenges. The system is sensitive to prompt complexity and length, requiring careful optimization of our requests. Additionally, frequent credential refreshes were necessary to maintain stable connections. LLM Reliability: Large language models can sometimes produce inconsistent or hallucinated responses. We addressed this by implementing our multi-stage AI judging system to validate and refine outputs before song generation. Performance Optimization: The end-to-end process currently takes approximately 1.5 minutes per video. While functional, this processing time highlighted the need for future optimization strategies. Accomplishments We're Proud Of Successfully creating a working end-to-end pipeline that takes raw video input and produces genuinely fitting musical accompaniments. The system demonstrates remarkable accuracy in capturing the emotional essence of uploaded content and translating it into appropriate musical styles and moods. What We Learned This project deepened our understanding of multimodal AI applications and the complexities of chaining multiple AI systems together. We gained valuable experience with Google Cloud Platform's AI services and learned important lessons about API management, error handling, and user experience design in AI-powered applications. What's Next for Echoes of Time Enhanced User Experience: Redesign the interface with improved error handling, loading states, and interactive feedback to make the application more user-friendly and robust. Performance Optimization: Explore options for reducing processing time, potentially through custom-trained open-source text-to-music models or optimized prompt engineering strategies. Expanded Format Support: Extend compatibility beyond MP4 and MP3 to support a wider range of media formats, making the application accessible to more users regardless of their recording device. Mobile Application: Develop a dedicated mobile app to make video-to-song generation more convenient and accessible for on-the-go content creation. Spotify Integration: Implement user authentication with Spotify to analyze listening history and preferences, enabling more personalized song generation that aligns with individual musical tastes. Advanced Customization: Add user controls for musical style preferences, tempo adjustments, and genre specifications to give users more creative control over their generated soundtracks. Convert to typescript: Convert backend to typescript to handle errors better and improve type security. TypeScript Migration: Convert the backend from JavaScript to TypeScript for improved error handling, type safety, and development experience. This will provide compile-time error detection and better IDE support, especially important for our complex media processing workflows and Google Cloud API integrations.

## README (from the GitHub repository)

# Echoes of Time

A creative, AI powered web application that transform personal videos into unique, custom-generated songs. Thanks to Google Gemini and Lyria, we are able to generate a 30 second song based of the video and audio file the user sent.

## Features

- 🎥 **Video Upload**: Support for MP4 Format
- 🤖 **AI Description**: Generates detailed descriptions using Google Gemini
- 🌐 **Web Interface**: Beautiful, responsive web UI with drag-and-drop functionality
- ⚡ **Real-time Processing**: Live progress updates during video processing

## How It Works

1. **Video Upload**: Users upload a video file through the web interface
2. **Frame Extraction**: The system extracts frames at 1-second intervals (up to 30 frames for a 30-second video)
3. **Vision Analysis**: Each frame is analyzed using Google Gemini to analyze the text from video-to-text to see the theme/mood the song should generate.
4. **AI Synthesis**: Song generation service analysis the information received and creates a song from scratch.
5. **Result Display**: The User is then presented with the generated song along with a quick reasoning of why the song was generated like so. Giving the user the option to do it once again.

## Usage

### Running the Application

1. **Start the server**:

   ```bash
   npm start
   ```
2. **Open your browser**:
   Navigate to `http://localhost:3000`
3. **Upload a video**:

   - Drag and drop a video file or click to browse
   - Supported format: MP4
   - Maximum file size: 100MB
4. **Wait for processing**:

   - The system will extract frames and analyze them
   - Processing time depends on video length and system performance
5. **View results**:

   - The final description will appear below the upload area
   - Descriptions focus on visual elements, environment, and ambiance

### Example Output

For a video showing a dog playing in a park:

```
The video opens with a serene outdoor scene featuring a lush green field under a clear blue sky. A small dog enters the frame and begins running across the field, chasing a red ball. The playful interaction continues as the dog picks up the ball in its mouth, and soon a person wearing a blue shirt approaches. The dog drops the ball at the person's feet, who then bends down to retrieve it and throws it into the distance, initiating a game of fetch.

As the game progresses, the camera reveals additional elements of the park setting - a large tree in the background, a small pond on the left side of the field, and a park bench in the far distance with the text "Enjoy Nature" visible on it. The sky remains clear with occasional white clouds, and bright sunlight illuminates the scene. The person and dog continue their playful interaction, with the dog jumping excitedly and the person throwing the ball multiple times. The video concludes with the dog retrieving the ball one final time and then lying down contentedly next to the person, suggesting the end of their play session.
```

## Configuration

### Pre-Reqs

* Node.js: 18.x or later
* Set your API Keys for Gemini in environment
* Enable VertexAI API and create Google Cloud Project ID (see .env template to follow variable signatures)
* Git: for cloning the repository

### Environment Variables

- GOOGLE_API_KEY: Your Google API key (required) and all it's other Google API features.Technical Details
- GOOGLE_ACCESS_TOKEN: Your google authentication token.
- GOOGLE_CLOUD_PROJECT: where VertexAI and Lyria are enabled
- NODE_ENV
- PORT

### Architecture

- **Frontend**: HTML/CSS/JavaScript with drag-and-drop interface
- **Node.JS Backend:** The main server that handles the user requests, file management and orchestrates the AI pipeline

### Models Used

- **Google Gemini 2.5-flash:** Used for AI powered adjudicaton and Video & Audio analysis
- **Lyria-002:** Music Generation from text


## Detected evidence (automated analysis)

Indexed codebase: 14 recognized source files, 77 KB.
- CSS (language) — detected in the code
- Express (technology) — detected in the code
- Google Gemini (technology) — detected in the code
- HTML (language) — detected in the code
- JavaScript (language) — detected in the code
- Node.js (technology) — claimed on Devpost, not found in the code

## Codebase structure (from repository index)

### Files (16 of 16)

```
.gitignore
frontend/about.html
frontend/result.html
frontend/script.js
frontend/style.css
frontend/upload.html
package.json
README.md
server.js
services/judging/judge-llm.js
services/judging/test-judge.js
services/media-processing/audio_understanding.js
services/media-processing/audio-utils.js
services/media-processing/video_understanding.js
services/song/song_generation.js
services/song/test.js
```

### Dependencies

- package.json: @google/generative-ai@^1.6.0, cors@^2.8.5, dotenv@^16.4.5, express@^4.18.2, multer@^1.4.5-lts.1, nodemon@^3.0.1

### Recent commits (newest first)

- Update README.md
- Reorganized node modules and packahe.jsons
- improved and fixed judging
- Update README.md
- Updated judging
- Update README.md
- Update README.md
- Merge branch 'main' of https://github.com/Girlcoding22/SSG_CalHacks2025
- Update README.md
- minor change
- Made changes to media preview
- Added some preview on the upload page
- icon included
- logo at upload
- Fixed routing to about.html page
- Added some extra fun facts
- worked on frontend
- redo style
- adding a slogan
- Update style.css

## Key source files (fetched from GitHub, selected and truncated for size)

### package.json

```
{
  "name": "ssg-calhacks2025",
  "version": "1.0.0",
  "description": "File upload and processing system",
  "type": "module",
  "main": "server.js",
  "scripts": {
    "start": "node server.js",
    "dev": "nodemon server.js"
  },
  "dependencies": {
    "@google/generative-ai": "^1.6.0",
    "cors": "^2.8.5",
    "dotenv": "^16.4.5",
    "express": "^4.18.2",
    "multer": "^1.4.5-lts.1"
  },
  "devDependencies": {
    "nodemon": "^3.0.1"
  },
  "keywords": [
    "file-upload",
    "ai-processing"
  ],
  "author": "",
  "license": "MIT"
}

```

### server.js

```javascript
import express from 'express';
import multer from 'multer';
import path from 'path';
import fs from 'fs';
import cors from 'cors';
import { fileURLToPath } from 'url';
import { audio_processing, describe_audio } from './services/media-processing/audio_understanding.js';
import { describe_video } from './services/media-processing/video_understanding.js';
import { extractAudioFromMP4, extractAudioFromMP4Alternative } from './services/media-processing/audio-utils.js';
import { generateSongDescription } from './services/judging/judge-llm.js';
import { generateAndSaveSong } from './services/song/song_generation.js';

const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);

const app = express();
const PORT = 3000;

// Enable CORS for frontend
app.use(cors());

// Serve only specific static files that upload.html needs
app.use('/script.js', express.static('frontend/script.js'));
app.use('/style.css', express.static('frontend/style.css'));
app.use('/monitor.js', express.static('frontend/monitor.js'));

// Serve assets folder for images
app.use('/assets', express.static('frontend/assets'));

// Route for upload.html (root and explicit)
app.get(['/', '/upload.html'], (req, res) => {
    res.sendFile(path.join(__dirname, 'frontend', 'upload.html'));
});

// Route for result page
app.get('/result', (req, res) => {
    res.sendFile(path.join(__dirname, 'frontend', 'result.html'));
});

// Route for about page
app.get('/about.html', (req, res) => {
    res.sendFile(path.join(__dirname, 'frontend', 'about.html'));
});

// Route for monitor page
app.get('/monitor', (req, res) => {
    res.sendFile(path.join(__dirname, 'frontend', 'monitor.html'));
});

// Block access to all other frontend files
app.use('/frontend/*', (req, res) => {
    res.status(404).send('File not found');
});

// Block access to other HTML files
app.use('*.html', (req, res) => {
    if (req.path === '/upload.html') {
        res.sendFile(path.join(__dirname, 'frontend', 'upload.html'));
    } else {
        res.status(404).send('File not found');
    }
});

// Configure multer for file uploads
const storage = multer.diskStorage({
    destination: function (req, file, cb) {
        // Create uploads directory if it doesn't exist
        const uploadDir = 'uploads';
        if (!fs.existsSync(uploadDir)) {
            fs.mkdirSync(uploadDir);
        }
        cb(null, uploadDir);
    },
    filename: function (req, file, cb) {
        // Generate unique filename with timestamp
        const uniqueSuffix = Date.now() + '-' + Math.round(Math.random() * 1E9);
        cb(null, file.fieldname + '-' + uniqueSuffix + path.extname(file.originalname));
    }
});

const upload = multer({ 
    storage: storage,
    limits: {
        fileSize: 50 * 1024 * 1024 // 50MB limit
    }
});

// Processing status tracking
const processingStatus = new Map();

// Function to process uploaded file
async function processUploadedFile(filePath, filename) {
    try {
        // Set initial processing status
        processingStatus.set(filename, {
            status: 'processing',
            startTime: new Date(),
            progress: 'Starting...'
        });

        console.log(`\n🎯 PROCESSING UPLOADED FILE: ${filename}`);
        console.log(`📁 File path: ${filePath}`);
        
        const fileExtension = filename.split('.').pop().toLowerCase();
        
        if (fileExtension === 'mp3' || fileExtension === 'm4a' || fileExtension === 'wav') {
            processingStatus.set(filename, {
                status: 'processing',
                progress: 'Processing audio file...'
            });
            
            console.log('🎵 Audio file detected - processing with audio_processing...');
            const audio_description = await audio_processing(filePath);
            console.log('✅ Audio processing completed:', audio_description);
            
            processingStatus.set(filename, {
                status: 'completed',
                progress: 'Audio processing completed',
                result: { type: 'audio', description: audio_description },
                endTime: new Date()
            });
            
            // Delete the processed file
            fs.unlinkSync(filePath);
            console.log(`🗑️ Deleted processed audio file: ${filename}`);
            
            return { type: 'audio', description: audio_description };
            
        } else if (fileExtension === 'mp4' || fileExtension === 'mov' || fileExtension === 'avi') {
            processingStatus.set(filename, {
                status: 'processing',
                progress: 'Extracting audio from video...'
            });
            
            console.log('🎬 Video file detected - extracting audio...');
            let audio_file64;
            try {
                audio_file64 = await extractAudioFromMP4(filePath);
            } catch (error) {
                console.log('Primary extraction failed, trying alternative...');
                audio_file64 = await extractAudioFromMP4Alternative(filePath);
            }
            
            processingStatus.set(filename, {
                status: 'processing',
                progress: 'Processing extracted audio...'
            });
            
            console.log('🎵 Audio extracted - processing with describe_audio...');
            const audio_description = await describe_audio(audio_file64);
            console.log('✅ Audio description completed:', audio_description);
            
            processingStatus.set(filename, {
                status: 'processing',
                progress: 'Analyzing video content...'
            });
            
            console.log('🎬 Video analysis - processing with describe_video...');
            const video_description = await describe_video(filePath);
            console.log('✅ Video description completed:', video_description);
            
            processingStatus.set(filename, {
                stat
[truncated — 7757 more characters]
```

### frontend/about.html

```html
<!DOCTYPE html>
<html>
<head>
    <meta charset="UTF-8" />
    <link rel="stylesheet" href="style.css">
    <link href="https://fonts.googleapis.com/css2?family=Tektur:wght@400;700&display=swap" rel="stylesheet">

    <link rel="icon" type="image/jpeg" href="assets/logo.jpeg">
    <title>About</title>
</head>
<body>
    <div class="headerALL" >
        <h1>Echoes of Time</h1>
    </div>
    <div style="display: flex; justify-content: space-between; align-items: center; margin: 10px 0;">
        <ul class="nav-small">
            <li onclick="window.location.href='upload.html'">Home</li>
            <li onclick="window.location.href='about.html'">About</li>
        </ul>
        <p class="catchphrase">Create a soundtrack of your life!</p>
    </div>
    <hr>
    <div class="profiles">
        <div class="profile">
            <div class="image-container">
                <a href="https://www.linkedin.com/in/samihoussaini/" target="_blank" rel="noopener noreferrer">
                    <img src="assets/Sami.jpeg" alt="Profile 1">
                </a>
            </div>
            <h2>Sami<br>Houssaini</h2>
            <p style="text-decoration: underline; text-decoration-color: rgba(188, 116, 244);">Backend Developer</p>
            <p> Hi! I'm Sami, a second-year student at UC Berkeley. In my free time, I like to hike and row. </p>
        </div>
        <div class="profile">
            <div class="image-container">
                <a href="https://www.linkedin.com/in/surajvinaykumar/" target="_blank" rel="noopener noreferrer">
                    <img src="assets/suraj.jpeg" alt="Profile 2">
                </a>
            </div>
            <h2>Suraj Vinaykumar</h2>
            <p style="text-decoration: underline; text-decoration-color: rgba(188, 116, 244);">Debugger</p>
            <p>Hi! I'm Suraj, a Master's student in Engineering Technology at San Jose State University,
                 with a focus on network security. Beyond my studies,
                I'm an avid hiker and traveler who loves documenting my journeys by taking photos and videos</p>
        </div>
        <div class="profile">
            <div class="image-container">
                <a href="https://www.linkedin.com/in/giovanna-gonzalez-rojas/" target="_blank" rel="noopener noreferrer">
                    <img src="assets/gio.jpeg" alt="Profile 3">
                </a>
            </div>
            <h2>Giovanna Gonzalez Rojas</h2>
            <p style="text-decoration: underline; text-decoration-color: rgba(188, 116, 244);">Frontend Developer</p>
            <p>Hi! I'm Giovanna, a student at UC Berkeley, studying Data Science and Cognitive Science. 
                I'm interested in video game development and human-computer interaction. If I'm not programming or doing math,
                 I'm probably researching random pop culture facts, reading a book, or playing video games.</p>
        </div>
    </div>
</body>
</html>
```

### frontend/upload.html

```html
<!DOCTYPE html>
<html lang="en">
<head>
    <link rel="stylesheet" href="style.css">
    <link href="https://fonts.googleapis.com/css2?family=Tektur:wght@400;700&display=swap" rel="stylesheet">

    <link rel="icon" type="image/jpeg" href="assets/logo.jpeg">
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>File Upload</title>
</head>
<body>
    <div class="headerALL" >
        <h1>Echoes of Time</h1>
    </div>
    <div style="display: flex; justify-content: space-between; align-items: center; margin: 10px 0;">
        <ul class="nav-small">
            <li onclick="window.location.href='upload.html'">Home</li>
            <li onclick="window.location.href='about.html'">About</li>
        </ul>
        <p class="catchphrase">Create a soundtrack of your life!</p>
    </div>
    <hr>
   
    

    <div class="upload-container">    
        <h2>Upload a Snapshot of Your Life!</h2>
        <p style="text-align: center;">Upload a video to create your day's soundtrack with AI!</p>
        
        <div class="upload-area" id="uploadArea">
            <div>
                <svg width="50" height="50" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
                    <path d="M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"></path>
                    <polyline points="7,10 12,15 17,10"></polyline>
                    <line x1="12" y1="15" x2="12" y2="3"></line>
                </svg>
                <p>Drag and drop your file here or</p>
                <button class="upload-btn" id="chooseFileBtn">
                    Choose File
                </button>
        <input type="file" id="fileInput" accept="*/*" style="display: none;">
        <div class="file-info" id="fileInfo" style="display: none;">
            <h3>Your File</h3>
            <div style="display: flex; gap: 20px; align-items: center; justify-content: center;">
                <p id="fileName"></p>
                <p id="fileSize"></p>
                <p id="fileType"></p>
            </div>
        </div>
        
        <div class="media-player" id="mediaPlayer" style="display: none;">
            <h3>Preview</h3>
            <div style="display: flex; justify-content: center; align-items: center;">
                <audio id="audioPlayer" controls style="width: 25%; max-width: 25%; margin: 10px 0; display: none;">
                    Your browser does not support the audio element.
                </audio>
                <video id="videoPlayer" controls style="width: 25%; max-width: 25%; max-height: 25vh; margin: 10px 0; display: none;">
                    Your browser does not support the video element.
                </video>
            </div>
        </div>
        
        <button class="upload-btn" id="processBtn" disabled="">
            Generate Soundtrack
        </button>
        
        
        <div class="progress-bar" id="progressBar">
            <div class="progress-fill" id="progressFill"></div>
        </div>
    </div>

    <script src="./script.js"></script>
</body>
</html> 
```

### frontend/script.js

```javascript
// File upload functionality with alert-based monitoring
document.addEventListener('DOMContentLoaded', function() {
    const uploadArea = document.getElementById('uploadArea');
    const fileInput = document.getElementById('fileInput');
    const chooseFileBtn = document.getElementById('chooseFileBtn');
    const processBtn = document.getElementById('processBtn');
    const fileInfo = document.getElementById('fileInfo');
    const fileName = document.getElementById('fileName');
    const fileSize = document.getElementById('fileSize');
    const fileType = document.getElementById('fileType');
    const mediaPlayer = document.getElementById('mediaPlayer');
    const audioPlayer = document.getElementById('audioPlayer');
    const videoPlayer = document.getElementById('videoPlayer');

    let selectedFile = null;

    // Hide file info initially
    fileInfo.style.display = 'none';

    // Choose file button click
    chooseFileBtn.addEventListener('click', () => {
        fileInput.click();
    });

    // File input change
    fileInput.addEventListener('change', (e) => {
        const file = e.target.files[0];
        if (file) {
            handleFileSelection(file);
        }
    });

    // Drag and drop functionality
    uploadArea.addEventListener('dragover', (e) => {
        e.preventDefault();
        uploadArea.classList.add('drag-over');
    });

    uploadArea.addEventListener('dragleave', (e) => {
        e.preventDefault();
        uploadArea.classList.remove('drag-over');
    });

    uploadArea.addEventListener('drop', (e) => {
        e.preventDefault();
        uploadArea.classList.remove('drag-over');
        
        const files = e.dataTransfer.files;
        if (files.length > 0) {
            const file = files[0];
            handleFileSelection(file);
        }
    });

    // Handle file selection
    function handleFileSelection(file) {
        // Validate file size (max 50MB)
        const maxSize = 50 * 1024 * 1024; // 50MB
        if (file.size > maxSize) {
            alert('File size must be less than 50MB.');
            return;
        }

        selectedFile = file;
        displayFileInfo(file);
        processBtn.disabled = false;
    }

    // Display file information
    function displayFileInfo(file) {
        fileName.textContent = file.name;
        fileSize.textContent = `Size: ${formatFileSize(file.size)}`;
        fileType.textContent = `Type: ${file.type}`;
        fileInfo.style.display = 'block';
        
        // Show media player for audio/video files
        showMediaPlayer(file);
    }

    // Format file size
    function formatFileSize(bytes) {
        if (bytes === 0) return '0 Bytes';
        const k = 1024;
        const sizes = ['Bytes', 'KB', 'MB', 'GB'];
        const i = Math.floor(Math.log(bytes) / Math.log(k));
        return parseFloat((bytes / Math.pow(k, i)).toFixed(2)) + ' ' + sizes[i];
    }

    // Show media player for audio/video files
    function showMediaPlayer(file) {
        const fileType = file.type.toLowerCase();
        const isAudio = fileType.startsWith('audio/');
        const isVideo = fileType.startsWith('video/');
        
        if (isAudio || isVideo) {
            const url = URL.createObjectURL(file);
            
            if (isAudio) {
                audioPlayer.src = url;
                audioPlayer.style.display = 'block';
                videoPlayer.style.display = 'none';
            } else if (isVideo) {
                videoPlayer.src = url;
                videoPlayer.style.display = 'block';
                audioPlayer.style.display = 'none';
            }
            
            mediaPlayer.style.display = 'block';
        } else {
            // Hide media player for non-media files
            mediaPlayer.style.display = 'none';
            audioPlayer.style.display = 'none';
            videoPlayer.style.display = 'none';
        }
    }

    // Process button click
    processBtn.addEventListener('click', () => {
        if (selectedFile) {
            uploadFile(selectedFile);
        }
    });

    // Upload file function
    async function uploadFile(file) {
        try {
            processBtn.disabled = true;
            processBtn.textContent = 'Processing...';

            // Create FormData
            const formData = new FormData();
            formData.append('file', file);

            // Send file to server
            const response = await fetch('http://localhost:3000/api/upload', {
                method: 'POST',
                body: formData
            });

            if (!response.ok) {
                throw new Error(`HTTP error! status: ${response.status}`);
            }

            const result = await response.json();
            
            // Handle response
            if (result.success) {
                // Redirect immediately to result page with filename
                window.location.href = `/result?filename=${encodeURIComponent(result.filename)}`;
            } else {
                throw new Error(result.message || 'Upload failed');
            }

        } catch (error) {
            console.error('Upload error:', error);
            alert('Error processing file: ' + error.message);
            
            // Reset UI on error
            processBtn.disabled = false;
            processBtn.textContent = 'Process File';
        }
    }
});

// //This script is for the loading screen functionality
// var myVar;

// function loadTimer() {
//   myVar = setTimeout(showPage, 3000);
// }

// function showPage() {
//   document.getElementById("Loader").style.display = "none";
//   document.getElementById("myDiv").style.display = "block";
// }
```

### frontend/style.css

```css
body{
    background-color: #ECF0FC;
    font-family: 'Archivo', sans-serif;
    padding: 5%;
}

button{
    background-color: #6488ea;
    font-family: 'Archivo', sans-serif;
    /* color: black; */
}
button:hover{
    background-color: #d4bbf1;
    color: white;
}
.button2{
    background-color: lightgrey;
    color: black;
    margin-left: 47.5%;
}
.button3{
    background-color: lightgrey;
    color:black
}
hr{
    border: 1px solid black; width: 100%;
}
h1{
    margin: 0;
    /* font-family: 'Roboto Mono', monospace; */
    /* font-family: 'Bubblegum Sans', cursive; */
   font-family: 'Tektur', sans-serif;
    text-shadow: 2px 2px 4px rgba(100, 136, 234, 0.8), 
                 4px 4px 8px rgba(100, 136, 234, 0.6),
                 6px 6px 12px rgba(22, 30, 52, 0.3);
    color: #0B0F1A;
    font-size: 3em;
}
h2{
    font-size:2em;
    text-align: center;
    font-family: 'Archivo', sans-serif;
}
.headerALL{
    display: flex;
    align-items: center; 
    gap: 20px;
    padding-bottom: 0;
    margin-bottom: 0;
    justify-content: center;
}

.catchphrase {
    font-family: 'Archivo', sans-serif;
    font-size: 1.2em;
    color: #6488ea;
    font-weight: 600;
    margin: 0;
    text-shadow: 1px 1px 2px rgba(188, 116, 244, 0.3);
    font-style: italic;
    text-align: right;
}

.p2{
    padding-right: 50%;
    color: green;
}
ul{
    display: flex; 
    list-style: none; 
    gap: 20px; 
    padding: 0; 
    margin: 0;
}
li{
    padding: 10px;
    background-color: #6488ea;
    color: white;
    /* background-color:rgba(188,116,244,0.3); */
    border-width: 2px;
    border-style: solid;
    border-color: rgba(74, 45, 96, 0.896);
    border-radius: 10px;
    font-size: larger;
}
li:hover{
    color: white;
    background-color: #d4bbf1;
    font-family: 'Archivo', sans-serif;
}
.quote{
    font-style: italic;
    font-family: 'Archivo', sans-serif;
    border: 2px solid #6488ea;
    border-radius: 10px;
    text-align: center;
    background-color: #f0f8ff;
    padding: 20px;
    margin: 20px auto;
    max-width: 600px;
    box-shadow: 0 4px 8px rgba(100, 136, 234, 0.2);
}

.quote::before {
    content: "Fun Facts";
    display: block;
    font-weight: bold;
    font-size: 1.2em;
    color: #6488ea;
    margin-bottom: 10px;
    font-style: normal;
}
/* Upload container styles */
.upload-container {
    max-width: 600px;
    margin: 0 auto;
    padding: 20px;
}

.upload-area {
    border: 2px dashed #6488ea;
    border-radius: 10px;
    padding: 40px;
    text-align: center;
    margin: 20px 0;
    transition: all 0.3s ease;
    background-color: #fafafa;
}

.upload-area.drag-over {
    border-color: #d4bbf1;
    background-color: #f0f0f0;
    transform: scale(1.02);
}

.upload-area svg {
    margin-bottom: 15px;
    color: #6488ea;
}

.upload-area p {
    margin: 10px 0;
    color: #666;
}

.upload-btn {
    background-color: #6488ea;
    color: white;
    border: none;
    padding: 12px 24px;
    border-radius: 5px;
    cursor: pointer;
    font-size: 16px;
    margin: 10px 5px;
    transition: background-color 0.3s ease;
}

.upload-btn:hover {
    background-color: #d4bbf1;
}

.upload-btn:disabled {
    background-color: #ccc;
    cursor: not-allowed;
}

.file-info {
    background-color: #f5f5f5;
    padding: 15px;
    border-radius: 5px;
    margin: 20px 0;
    border-left: 4px solid #6488ea;
}

.file-info h3 {
    margin-top: 0;
    color: #333;
}

.file-info p {
    margin: 5px 0;
    color: #666;
}

.media-player {
    background-color: #f8f9fa;
    padding: 15px;
    border-radius: 5px;
    margin: 20px 0;
    border-left: 4px solid #28a745;
}

.media-player h3 {
    margin-top: 0;
    color: #333;
    margin-bottom: 10px;
}
/*the loading bar?*/
.progress-bar {
    width: 100%;
    height: 20px;
    background-color: #f0f0f0;
    border-radius: 10px;
    overflow: hidden;
    margin: 20px 0;
    display: none;
}

.progress-fill {
    height: 100%;
    background-color: #6488ea;
    width: 0%;
    transition: width 0.3s ease;
}
.Loader {
  border: 16px solid #f3f3f3;
  border-radius: 50%;
  border-top: 16px solid #6488ea;
  width: 120px;
  height: 120px;
  margin-left: 43%;
  -webkit-animation: spin 2s linear infinite; /* Safari */
  animation: spin 2s linear infinite;
  
}
/* Safari */

@-webkit-keyframes spin {
  0% { -webkit-transform: rotate(0deg); }
  100% { -webkit-transform: rotate(360deg); }
}

@keyframes spin {
  0% { transform: rotate(0deg); }
  100% { transform: rotate(360deg); }
}

.animate-bottom {
  position: relative;
  -webkit-animation-name: animatebottom;
  -webkit-animation-duration: 1s;
  animation-name: animatebottom;
  animation-duration: 1s
}

@-webkit-keyframes animatebottom {
  from { bottom:-100px; opacity:0 } 
  to { bottom:0px; opacity:1 }
}

@keyframes animatebottom { 
  from{ bottom:-100px; opacity:0 } 
  to{ bottom:0; opacity:1 }
}

#myDiv {
  display: none;
  text-align: center;
}

.profiles {
    display: flex;
    justify-content: center;
    gap: 40px;
    margin-top: 30px;
    }
.profile {
    text-align: center;
    max-width: 250px;
}
.image-container {
    position: relative;
    display: inline-block; /* or block, as needed */
    }
      
.image-container img {
    width: 190px;
    height: 190px;
    object-fit: cover;
    border-radius: 50%;
}
.image-container:hover::after {
    content: "LinkedIn";
    position: absolute;
    border-radius: 50%;
    top: 0; left: 0; right: 0; bottom: 0;
    background: rgba(166, 187, 243, 0.5); /* purple with 50% opacity */
    
    /* Text styling and centering */
    color: white;
    font-weight: bold;
    font-size: 24px;
    font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
    display: flex;
    justify-content: center;
    align-items: center;

    pointer-events: none; /* allows clicks to pass through */
    opacity: 0; /* start with 0 opacity (invisible) */
    transition: opacity 0.3s ease; /* smooth transition */
}

.image-container:hover::aft
[truncated — 1848 more characters]
```

### frontend/result.html

```html
<!DOCTYPE html>
<html>
<head>
    <link rel="stylesheet" href="style.css">
    <link href="https://fonts.googleapis.com/css2?family=Tektur:wght@400;700&display=swap" rel="stylesheet">

    <link rel="icon" type="image/jpeg" href="assets/logo.jpeg">
    <meta charset="UTF-8" />
    <title>Processing Results</title>
</head>
<body onload="loadResults()" style="margin:0;">
    <div class="headerALL" >
        <h1>Echoes of Time</h1>
    </div>
    <div style="display: flex; justify-content: space-between; align-items: center; margin: 10px 0;">
        <ul class="nav-small">
            <li onclick="window.location.href='upload.html'">Home</li>
            <li onclick="window.location.href='about.html'">About</li>
        </ul>
        <p class="catchphrase">Create a soundtrack of your life!</p>
    </div>
    <hr>
    
    <!-- Audio element for completion sound -->
    <audio id="completionSound" preload="auto">
        <source src="data:audio/wav;base64,UklGRnoGAABXQVZFZm10IBAAAAABAAEAQB8AAEAfAAABAAgAZGF0YQoGAACBhYqFbF1fdJivrJBhNjVgodDbq2EcBj+a2/LDciUFLIHO8tiJNwgZaLvt559NEAxQp+PwtmMcBjiR1/LMeSwFJHfH8N2QQAoUXrTp66hVFApGn+DyvmwhBSuBzvLZiTYIG2m98OScTgwOUarm7blmGgU7k9n1unEiBC13yO/eizEIHWq+8+OWT" type="audio/wav">
    </audio>
    
    <!-- Loading screen -->
    <div id="loadingScreen" class="loading-screen">
        <div>
            <h2>Processing Your File<span class="animated-dots"><span class="dot">.</span><span class="dot">.</span><span class="dot">.</span></span></h2>
            <div class="Loader"></div>
        </div>
        
        <!--here I am including the random quote fact-->
        <script>
            const quotes = [
                "The first clip ever aired on MTV is the Buggles Video Killed the Radio Star. The first clip ever aired on MTV Europe is Dire Straits' Money For Nothing. (Mishal, Or. \"40 Amazing Music Facts That Will Shake Your Ears.\")",
                "Only three music companies are responsible for over 80% of the music you listen to Sony BMG, Warner Music Group, and Universal Music Group. (Mishal, Or. \"40 Amazing Music Facts That Will Shake Your Ears.\")",
                "Tame Impala is just one guy",
                "Music has its own language of rhythm, pitch, and order. Learning an instrument can boost your language skills, including vocabulary and reading comprehension. It also hones your mathematical ability, as music theory involves concepts like fractions and ratios",
                "The strings on violins were historically made from sheep intestines, not catgut, as the myth suggests.",
                "The iPod, introduced in 2001, revolutionized how people carried and listened to music. Coupled with the MP3 format, it made it possible to have \"your entire music library in your pocket.\" This also led to a massive rise in illegal downloading initially, forcing the industry to adapt",
                "The Beatles' song \"Hey Jude\" was written in just 24 hours. The lyrics were inspired by a conversation between John Lennon and Paul McCartney about their children, with the song serving as a message of comfort and reassurance to them."
            ];
            
            let currentQuoteIndex = Math.floor(Math.random() * quotes.length);
            let quoteElement = null;
            
            function displayQuote() {
                if (!quoteElement) {
                    quoteElement = document.createElement('p');
                    quoteElement.className = 'quote';
                    document.getElementById('loadingScreen').appendChild(quoteElement);
                }
                quoteElement.textContent = quotes[currentQuoteIndex];
            }
            
            function shuffleQuotes() {
                currentQuoteIndex = (currentQuoteIndex + 1) % quotes.length;
                displayQuote();
            }
            
            // Display initial quote
            displayQuote();
            
            // Start shuffling quotes every 5 seconds
            const quoteInterval = setInterval(shuffleQuotes, 5000);
            
            // Store the interval ID so we can clear it when results are displayed
            window.quoteInterval = quoteInterval;
        </script>
        <!--end of the random quote fact-->
        
        <p id="progressText" style="color: #666; font-size: 14px; margin-top: 10px;">Starting analysis...</p>
    </div>
    
    <!-- Results display -->
    <div id="resultsContainer" style="display:none;" class="animate-bottom">
        <div id="resultsContent"></div>
        <div style="margin-top: 20px;">
            <button id="processAnotherFile" onclick="window.location.href='/'" class="processAnotherFile">Process Another File</button>
        </div>
    </div>

    <script>
        async function loadResults() {
            const urlParams = new URLSearchParams(window.location.search);
            const filename = urlParams.get('filename');
            const isError = urlParams.get('error') === 'true';
            
            if (!filename) {
                showError('No filename provided');
                return;
            }
            
            // Start polling for status updates
            pollForResults(filename);
        }
        
        async function pollForResults(filename) {
            let attempts = 0;
            const maxAttempts = 300; // 10 minutes max (300 * 2 seconds)
            
            const pollInterval = setInterval(async () => {
                attempts++;
                
                try {
                    // First check processing status for progress updates
                    const statusResponse = await fetch(`/api/processing-status/${filename}`);
                    if (statusResponse.ok) {
                        const statusData = await statusResponse.json();
                        
                        if (statusData.success && statusData.status) {
                            // Update progress text
                          
[truncated — 6563 more characters]
```

### services/media-processing/audio_understanding.js

```javascript
import { GoogleGenerativeAI } from "@google/generative-ai";
import * as fs from "node:fs";
import dotenv from 'dotenv';

// Load environment variables
dotenv.config();

const LLM = new GoogleGenerativeAI(process.env.GOOGLE_API_KEY);

async function audio_processing(audio_path) {
  const audio_64 = encode_audio(audio_path);
  return await describe_audio(audio_64);
}

function encode_audio(audio_path) {
  return fs.readFileSync(audio_path, {
    encoding: "base64",
  }); 
}

async function describe_audio(audio_64) {
  try {
    const model = LLM.getGenerativeModel({ model: "gemini-2.0-flash-exp" });
    
    const contents = [
      { text: "This is the audiotrack for someone's day. Please provide a description of this day." },
      {
        inlineData: {
          mimeType: "audio/mp3",
          data: audio_64,
        },
      },
    ];
    
    const response = await model.generateContent(contents);
    const text_response = response.response.text();
    
    // Handle the response
    console.log("Audio processing response:", text_response);
    return text_response;
    
  } catch (error) {
    console.error("Error processing audio:", error);
    throw error;
  }
}

// Export the functions for use in other modules
export { audio_processing }; 
export { describe_audio }; 
```

### services/media-processing/video_understanding.js

```javascript
import { GoogleGenerativeAI } from "@google/generative-ai";
import dotenv from 'dotenv';
import fs from 'fs';

dotenv.config();

const genAI = new GoogleGenerativeAI(process.env.GOOGLE_API_KEY);

export async function describe_video(video_path) {
    try {
        console.log(`🎬 Processing video: ${video_path}`);
        
        // Read the video file as base64
        const videoBuffer = fs.readFileSync(video_path);
        const base64Video = videoBuffer.toString('base64');
        
        // Create the model
        const model = genAI.getGenerativeModel({ model: "gemini-2.0-flash-exp" });
        
        // Create the prompt
        const prompt = "This is a video that someone has taken to illustrate their day. Please describe this video in detail keeping this in mind.";
        
        // Generate content with the video
        const result = await model.generateContent([
            prompt,
            {
                inlineData: {
                    data: base64Video,
                    mimeType: "video/mp4"
                }
            }
        ]);
        
        const response = await result.response;
        const text = response.text();
        
        console.log(`✅ Video description completed`);
        return text;
        
    } catch (error) {
        console.error('❌ Error describing video:', error);
        throw error;
    }
}
```

### services/judging/test-judge.js

```javascript
import { generateSongDescription } from './judge-llm.js';

// Test the judge functionality
async function main() {
    console.log('🎯 Testing Judge LLM...\n');
    
    const testCases = [
      {
        audio: "A young man with dark, curly hair is casually seated on a park bench, strumming a vintage acoustic guitar. He's wearing a faded denim jacket over a simple white t-shirt, his fingers dancing across the strings. The park is bathed in soft, golden sunlight, and the scene has a relaxed, carefree vibe. A few vibrant green trees frame the image, with a blurry background suggesting a busy park with a few unseen people. This photo showcases a moment of tranquil joy. The scene is a portrayal of everyday life, with the guitar player as the central focus of the image, and a sense of peace and calm, created by the soft light and the soft colors. The camera angle is at eye level with the player, giving a sense of intimacy.",
        video: "A young man with dark brown hair and a scruffy beard plays an acoustic guitar outdoors in a sunny park. He wears a faded denim jacket and dark jeans, a casual yet comfortable look for a relaxed afternoon of music. The guitar is a well-worn but well-loved instrument, with subtle signs of wear that enhance its character and suggest it's been played often. The scene is bathed in warm, natural light, with sunlight filtering through the leaves of surrounding trees and casting a dappled pattern on the ground. The trees are lush and green, and the grass below them is a vibrant emerald. The background is softly blurred, drawing the viewer's focus to the musician and his instrument. The image is evocative of a carefree moment, with a relaxed, candid feel captured by a street photography style.",
        expected: "True"
      },
      {
        audio: "A person playing guitar in a park", 
        video: "A car driving on the highway",
        expected: "False"
      }
    ];
  
    for (const testCase of testCases) {
      try {
        console.log(`📋 Testing: "${testCase.audio}" vs "${testCase.video}"`);
        const result = await generateSongDescription(testCase.audio, testCase.video);
        console.log(`   Result: ${result}`);
        console.log(`   ${result}\n`);
      } catch (error) {
        console.error(`   ❌ ERROR: ${error.message}\n`);
      }
    }
  }
  
  main().catch(console.error);
```

[4 more indexed source files omitted to keep this export small. The full file list is in the Codebase structure section above.]