An OCR and summarization pipeline that transforms long academic PDFs into readable, structured notes, designed to reduce revision time and cognitive load during exam prep.
📚 Smart Notes Processor (Colab Prototype)
A Colab-based prototype that processes student notes. Students can upload PDFs or images, and the notebook extracts, analyzes, and structures the content for easy study.
Key Contributions: I designed the system architecture, problem workflows, and solution approach, ensuring the notebook produces accurate and structured outputs.
🛠 Features (Prototype)
Upload PDFs or images of notes.
OCR-based text extraction (Tesseract).
Summarization and structured output for easier reading.
Modular workflow, ready for future web deployment and potential freemium features.
💻 Tech Stack
Notebook Environment: Google Colab
Programming Language: Python
Libraries: pytesseract, OpenCV, pandas, numpy, OpenAI APIs (optional)