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PDF Summarizer
Beginner⏱ 1–2 days · 4 milestones
Upload any PDF and get a structured summary — key points, section breakdown, and a one-paragraph abstract — using an LLM.
Difficulty
Beginner
Duration
1–2 days
Milestones
4 steps
Interview Qs
3 questions
🛠 Tech stack
PythonPyPDF2 or pdfplumberClaude / OpenAI APIStreamlit
✅ Prerequisites
- ● Basic Python
- ● File I/O
Step-by-step milestones
1
Extract text from PDF
Use PyPDF2 or pdfplumber to get raw text.
2
Chunk the text
Split long documents to fit within context windows.
3
Summarize with LLM
Send chunks to the LLM and merge summaries.
4
Build upload UI
Create a Streamlit interface for file upload and display.
Skills you'll build
PDF parsingLLM APIPrompt EngineeringText chunking
📝 Interview questions you'll face
- 1.How do you handle PDFs larger than the context window?
- 2.What chunking strategy did you choose?
- 3.How would you evaluate summary quality?
🌟 Portfolio guidance
Add sample PDFs in your repo and show before/after comparison. Mention chunking strategy in README.