Project Info
Inspiration
EchoJournal was created to help users build self-awareness, process their emotions, and recognize thought patterns over time, transforming journaling into a powerful feedback loop for emotional growth. Before this project, I had heard about the mental health benefits of journaling, but I often found it unfulfilling and repetitive. I wanted to use technology to enhance the experience, turning journaling into a tool for personal insight and reflection. What It Does EchoJournal makes journaling more interesting to those who otherwise wouldn’t do it. The site prompts users to write about their feelings, thoughts, and experiences. These entries are processed through Google’s Gemini LLM, which provides constructive insights that would typically be unavailable during traditional journaling. One key feature we built is “You Said, You Meant,” which helps identify deeper emotions, beliefs, or fears behind what the user wrote. Additional features include personalized reflections, mood trend visualization, and emotional theme detection. How We Built It Frontend: Next.js, Tailwindcss, Authentication: Firebase Authentication Database: MongoDB Atlas AI Processing: Python server (FAST API) running entries through Gemini’s LLM API to return insights and suggestions Challenges We Faced One of the biggest challenges was connecting the frontend to the backend API routes and managing user data across multiple services. Handling metadata and post request formats between Firebase, MongoDB, and FastAPI was particularly tricky, and combined with this being one of the most complex projects we’ve built, this led to several debugging sessions. What We Learned As a team, we grew significantly — learning to work with React, Next.js, and Tailwind CSS for the first time, while also exploring routing, protected routes, and API integration using FastAPI. We also gained valuable experience with cloud deployment and managing cross-service communication between frontend, backend, and database layers. What’s Next for EchoJournal EchoJournal has several potential directions for growth — both in terms of user features and monetization. Some ideas we hope to implement in the future include: More advanced emotion and tone analysis A mobile-first version Therapist-mode: shareable insights for mental health professionals Personalized affirmations and goal tracking Journaling streak rewards and social integrations Voice-to-text Audio Journaling. Possible modes for those with Neurodivergence or mental illness to help with emotion control
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Analysis
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Metric
- 8
Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.
Technology
- FastAPIIn code
- PythonIn code
- VercelIn code
- FirebaseClaimed
- JavaScriptClaimed
- Next.jsClaimed
- ReactClaimed
3 of 7 appear in the indexed code. 4 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.
AI coding agents
No AI coding agent signals were found in this repository.
Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.
Codebase size
Source size
35 KB
Source files
3
Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.
Repository
Gary0302/echo-BE
6 files · 49 KB · @ 8a7e964
Structure
API & routing
1 file · 17%Request entry points: routes, handlers and controllers.
Application logic
3 files · 50%Domain rules, services and shared utilities.
Supporting
Layers are inferred from where files sit in the tree, not from reading the code. A project that names its directories unconventionally will read oddly here — open the file browser to check anything the diagram implies.
Languages
- Python100%
Share of indexed source by file size. Binary and vendored files are excluded.
Dependencies
requirements.txt
pypi · 60- annotated-types
- anyio
- appnope
- asttokens
- cachetools
- certifi
- charset-normalizer
- click
- comm
- debugpy
- decorator
- dnspython
- executing
- fastapi
- google-auth
- google-genai
- h11
- httpcore
- +42 more
Declared in the repository’s manifests at the indexed commit. A declared package is not proof it is used, and runtime dependencies are listed first.
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