Buddhu.ai is a personalized journaling and emotional well-being platform that leverages intelligent conversations and memory tracking to help users reflect, grow, and understand themselves better. With a sleek interface, AI-powered chat, and timeline-based memory widgets, Buddhu.ai becomes your second brain — offering support, guidance, and insight based on your own thoughts.
- Quickly recall memories from:
- Today
- 2 Days Ago
- 1 Week Ago
- 1 Month Ago
- Each memory is shown with a one-line summary for quick mental recall and reflection.
- Visual week-wise display of your mood throughout the week.
- Icon-based view to show highs, lows, and neutral days.
- Tracks days when journals were written.
- A tick icon replaces the date on active days, forming a visible streak tracker.
- A smart AI interface for open-ended chats.
- Ask Buddhu.ai: “Is there anything I’ve written that could help me right now?”
- Responds with insights pulled from your own past logs using LLM + Vector DB.
- Typing animations, voice/image inputs, and friendly suggestions included.
Choose between two modes:
- Freeform Journal – A traditional text entry to reflect on your day.
- Guided Reflection – AI-driven questioning that guides you to write more deeply about your experiences.
Both modes are synced to your timeline, mood logs, and suggestion engine.
| Layer | Tech Stack |
|---|---|
| Frontend | React, TypeScript, TailwindCSS |
| Backend | Node.js, Express |
| Auth | Auth0 (SSO Integration) |
| Database | MongoDB |
| Vector DB | Pinecone / Chroma / Qdrant (configurable) |
| AI Model | LLM (OpenAI/GPT-based or local LLM) |
| Scheduler | Celery (for daily summary and heartbeats) |
-
Auth Flow
- Users authenticate via Auth0 SSO.
- Client fetches session data and routes accordingly.
-
Mirror Conversations
- User chat input is processed by the LLM, which fetches related memory data from Vector DB and MongoDB.
- Suggestions and chat history are returned to the client.
-
Memory Handling
- Daily logs and metadata (including mood) are stored in MongoDB.
- A cron process summarizes and compresses old data, maintaining a performant memory timeline.
-
Widgets & Analytics
- The frontend displays widgets based on MongoDB queries, including the streak calendar, mood chart, and memory summaries.
- Mobile responsive UI
- In-app voice journaling transcription
- AI recommendations based on life events
- Sentiment heatmap and insights panel
# Clone the repository
git clone https://github.com/your-username/buddhu.ai.git
cd budhhu.ai
# Install dependencies
npm install
# Start the dev server
npm run dev| Name | GitHub Profile |
|---|---|
| Aditya Mittal | @adityamittl |
| Raghav Khanna | @teammate1 |
| Krishna Kulshreshtha | @Krishnaaa-29 |
| Vansh Mahajan | @Vansh-0108 |
Want to contribute? Please open issues or submit pull requests. For major changes, open a discussion first.