🚀 Built the first version of AI Time Machine today!
AI Time Machine is a RAG-powered application that lets you “travel back” through your knowledge and reconstruct what you knew at different points in your life.
✨ Features I’m working on:
- Knowledge extraction from notes, PDFs, and journals
- Timeline-based memory retrieval
- AI-powered “What did I know then?” questions
- Personal knowledge evolution tracking
- Future knowledge predictions
- Beautiful futuristic time-travel themed UI
🛠 Tech Stack:
- Python
- Streamlit
- Groq API (Llama 3.1 8B Instant)
- LangChain
- ChromaDB
- RAG Pipeline
Today’s progress:
✅ Designed the core concept
✅ Created the knowledge extraction engine
✅ Built memory record generation
✅ Started the Streamlit interface
✅ Connected Groq API for reasoning
Next steps:
🔜 Memory timeline visualization
🔜 Time-travel chat experience
🔜 Knowledge DNA dashboard
🔜 Memory graph explorer
The goal is to create an AI that can answer questions like:
🕰️ “What did I know about AI in January 2025?”
🕰️ “What projects was I working on six months ago?”
🕰️ “How has my knowledge evolved over time?”
This is one of the most ambitious AI projects I’ve worked on so far. Excited to keep building! 🚀
#AI #Python #LangChain #Groq #RAG #Streamlit #HackClub #BuildInPublic #AITimeMachine
