The original idea was to build a lightweight tool for summarizing PDFs using GPT. But the project quickly evolved into something more — a modular, extensible AI-powered research assistant that supports multiple formats, automates citation handling, and exports professional summaries with just a few clicks.
A full-featured AI-powered web app built with Streamlit, integrating:
Users can choose summary styles, reprocess specific sections, or ask the assistant to "Explain this further."
Detects in-text citations, fetches metadata via DOI/URL, and reformats them into APA or MLA automatically.
Upload multiple files at once. Each document is summarized and cited separately.
Export to multiple formats with a single click. File names are automatically timestamped for easy organization.
While it started as a personal project, the app has real potential for:
The app is being prepared for a potential SaaS offering. Future additions include:
This project is one example of how AI tools — when applied thoughtfully — can solve real-world workflow problems. Let's talk about yours.
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