| # PaperProf β Task List |
| Build Small Hackathon β June 5β15, 2026 |
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| ## β
Done |
| - Project structure created (app.py, core/, model/, ui/) |
| - core/parser.py: PDF text extraction with PyMuPDF |
| - core/chunker.py: paragraph-based text chunking with min/max word caps |
| - core/questioner.py: LLM-based question generation with professor prompt |
| - core/evaluator.py: LLM-based answer evaluation with tutor prompt |
| - model/llm.py: MiniCPM4-8B singleton wrapper via HuggingFace Transformers (bfloat16, chat template) |
| - app.py: full Gradio UI with PDF upload, question generation, answer evaluation |
| - requirements.txt: all dependencies listed |
| - README.md: project description and file structure |
| - .gitignore: venv, models, cache excluded |
| - ZeroGPU enabled on HuggingFace Space (free RTX Pro 6000 Blackwell) |
| - Space live at: https://huggingface.co/spaces/build-small-hackathon/PaperProf |
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| ## π² To Do |
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| ### π§ͺ Testing & Bug Fixes |
| - [ ] End-to-end test: upload real PDF β load β generate question β answer β get feedback |
| - [x] Handle edge cases: empty PDF, scanned PDF (no text), very short PDF |
| - [x] Handle model loading errors gracefully in the UI |
| - [ ] Test with multiple PDF types (slides, textbook chapters, lecture notes) |
| - [ ] Fix any ZeroGPU cold start issues (model takes time to load) |
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| ### π¨ UI/Design (Badge: Off-Brand) |
| - [ ] Replace default Gradio theme with fully custom CSS using gr.Server |
| - [ ] Add PaperProf logo and branding |
| - [ ] Add progress indicator when model is generating |
| - [x] Add session score tracker (X/Y correct answers) |
| - [ ] Add difficulty selector (Easy / Normal / Hard mode) |
| - [ ] Add language selector (French / English) |
| - [ ] Show source chunk used for the question (collapsible) |
| - [ ] Add end-of-session summary screen with score and weak areas |
| - [ ] Make the UI mobile-friendly |
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| ### π§ ML/Model Improvements |
| - [ ] Add quiz modes: Quick (5 questions) / Full session / Brutal mode |
| - [ ] Implement adaptive difficulty: revisit failed concepts, skip mastered ones |
| - [ ] Add chunk relevance scoring to pick the most important chunks first |
| - [ ] Support multiple PDF uploads in one session |
| - [ ] Add support for plain text (.txt) and markdown (.md) files |
| - [ ] Cache parsed chunks in session state to avoid re-parsing on reload |
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| ### π
Bonus Quests |
| - [ ] π Off the Grid: verify zero external API calls (all local/ZeroGPU) |
| - [ ] π― Well-Tuned: fine-tune MiniCPM on educational Q&A data using Modal credits ($250) |
| - [ ] Find/create educational Q&A dataset on HuggingFace |
| - [ ] Write fine-tuning script with LoRA/QLoRA |
| - [ ] Run fine-tuning on Modal GPU |
| - [ ] Publish fine-tuned model on HuggingFace under build-small-hackathon org |
| - [ ] Update model/llm.py to use fine-tuned model |
| - [ ] π¨ Off-Brand: fully custom Gradio frontend (see UI section above) |
| - [ ] π¦ Llama Champion: switch inference to llama.cpp runtime |
| - [ ] Download GGUF version of MiniCPM4-8B |
| - [ ] Replace transformers pipeline with llama-cpp-python |
| - [ ] Test performance vs transformers |
| - [ ] π‘ Sharing is Caring: export and share agent trace on HuggingFace Hub |
| - [x] π Field Notes: write blog post about what we built and learned (BLOG.md) |
| - [ ] Document architecture decisions |
| - [ ] Include benchmark results (speed, quality) |
| - [ ] Publish on HuggingFace blog or personal blog |
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| ### π¦ Submission Checklist (deadline: June 15, 2026) |
| - [ ] App running and stable on HuggingFace Space |
| - [ ] Demo video (~2 minutes) showing full flow: upload β question β answer β feedback |
| - [ ] Social media post (LinkedIn + Twitter) with Space link and demo |
| - [x] Blog post / Field Notes published (BLOG.md) |
| - [ ] Submission form filled on HuggingFace |
| - [ ] All badge requirements verified |
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