🔧 What it Does:
Upload a PDF file
The app reads and extracts the content
Then it summarizes it using OpenAI's GPT API
It returns a clean summary of the PDF — great for notes, lectures, or articles!
💻 Tech Stack:
Flask for backend
HTML + CSS (basic) for UI
OpenAI API for smart summarization
PyMuPDF to read and parse PDF content
SQLite for optional login and user data
🌟 Features:
Upload any PDF file
Clean summary output using GPT
Simple login system
Auto-routing and error handling
Soon adding dark mode & history logs!
🧠 What I Learned:
How to use Flask routing & templates
Using OpenAI’s API with Python
Handling file uploads and PDF parsing
Deploying a Flask app and working with GitHub
🛠️ GitHub Repo:
👉 github.com/spandan789/pdf-summarizer
📌 Next Steps:
Improve the UI
Add history saving
Deploy it permanently
If you're a beginner and want help building something similar, feel free to reach out! I’d love to share what I’ve learned so far.
💬 What do you think?
Would love your feedback or suggestions on how to improve this!
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