Projects Portfolio
🚀 AI Engineer Journey — Plan & Trackers · Hope AI — ML & DS Course
Every project must be pitchable in exactly 2 minutes:
1. What problem does it solve? (10 sec)
2. How does it work? (30 sec)
3. What tech decisions and why? (40 sec)
4. What would you improve? (20 sec)
5. Demo or screenshot (20 sec)
📊 Project Status
| Project | Week | Stack | Status | GitHub | Demo |
|---|
| Temperature Explorer | Wk 1 | Python, Anthropic SDK | ⭕ Not built | — | — |
| Prompt A/B Testing Tool | Wk 2 | Python, Anthropic SDK | ⭕ Not built | — | — |
| PDF Q&A Bot (RAG) | Wk 3 | Python, ChromaDB, Anthropic | ⭕ Not built | — | — |
| AI Assistant with 3 tools | Wk 4 | Python, Anthropic tool_use | ⭕ Not built | — | — |
| Cross-session Memory Bot | Wk 5 | Python, ChromaDB, Anthropic | ⭕ Not built | — | — |
| Eval Dashboard for RAG | Wk 6 | Python, RAGAS, LangSmith | ⭕ Not built | — | — |
| Streaming Chatbot | Wk 7 | Python, asyncio, FastAPI | ⭕ Not built | — | — |
| Deployed RAG Bot as API | Wk 8 | FastAPI, Docker, HuggingFace | ⭕ Not built | — | — |
| Research Agent (ReAct) | Wk 9 | LangChain, Anthropic | ⭕ Not built | — | — |
| Multi-agent Content Pipeline | Wk 10 | LangGraph, CrewAI | ⭕ Not built | — | — |
| Custom MCP Server | Wk 11 | MCP SDK, Python | ⭕ Not built | — | — |
| Production RAG System | Wk 12 | ChromaDB, Cohere, Anthropic | ⭕ Not built | — | — |
| Fine-tuned Model | Wk 13 | LoRA, PEFT, Colab | ⭕ Not built | — | — |
🔖 Flagship Projects (Top 3 for Portfolio)
To be selected from the above after Month 4. These will have polished READMEs, live demos, and detailed write-ups.
| Flagship | Description | Live Demo | Blog Post |
|---|
| TBD | — | — | — |
✅ Project Completion Checklist (per project)
- Code written and runs without errors
- GitHub repo created with meaningful name
- README written (problem, solution, tech, how to run)
- Demo video or screenshot included
- 2-minute pitch prepared
- Quiz passed on the topic
- Communication exercise done