ElevatR - AI-Powered Career Development Platform

A Chrome extension that helps students track job skills from descriptions and get personalized project recommendations to enhance their resumes.

Features

• Job Description Scraping: Automatically extracts information from job postings
• Skill Tracking: Identifies and categorizes technical and soft skills from job descriptions
• Resume Analysis: Compares your resume against job requirements to identify skill gaps
• Project Recommendations: Suggests personalized projects to build missing skills
• Skills Dashboard: Visualizes skill frequency across saved jobs

Architecture

This project consists of two main components:

1. Chrome Extension: Frontend interface for saving job descriptions and viewing analysis
2. CrewAI Backend: Multi-agent system that processes job descriptions, analyzes resumes, and recommends projects

AI Agents

The backend uses CrewAI to implement three specialized AI agents:

• Job Description Analyzer: Extracts skills and requirements from job descriptions
• Resume Analyzer: Identifies skills in resumes and compares to job requirements
• Project Recommender: Suggests personalized projects based on skill gaps

Setup

Chrome Extension

1. Clone this repository
2. Open Chrome and navigate to chrome://extensions/
3. Enable "Developer mode" (toggle in the top-right)
4. Click "Load unpacked" and select the repository folder
5. The extension should appear in your toolbar

Backend

1. Navigate to the backend directory:

cd backend

2. Install the required Python packages:

pip install -r requirements.txt

3. Set up your environment variables:

   • Copy the .env.example file to .env
   • Add your Gemini API key to the .env file

4. Run the API server:

python run_api.py

The API will be available at http://localhost:8000.

Usage

1. Browse job listings on sites like LinkedIn, Indeed, or Glassdoor
2. Click the ElevatR extension icon and select "Save Job Description"
3. The extension will extract skills and save the job information
4. Click "View Dashboard" to see your saved jobs and skill analysis
5. Upload your resume to identify skill gaps
6. Get personalized project recommendations based on your skill gaps

Technologies Used

• Frontend: HTML, CSS, JavaScript, Chart.js
• Backend: Python, FastAPI, CrewAI, LangChain
• AI:
  • Google Gemini API (primary for chat and resume analysis)
  • Vectara (for interview question generation and document search)
• Storage: Chrome Extension Storage API

Project Structure

• /images - Extension icons
• /backend - CrewAI backend service
  • /agents - AI agent definitions
  • /api - FastAPI server
• Root files - Chrome extension files (manifest.json, popup.html, etc.)

CruzHacks Submission

This project was created for CruzHacks, focusing on helping students improve their job prospects by identifying and addressing skill gaps through targeted project work.

License

MIT