AI Research Paper Summarizer App -- 2

Job ID: 39720009

Budget: $250 – $750 USD

I need a straightforward desktop tool that lets me drop a research-paper PDF or paste its text, press a button, and receive an overview-style summary that highlights the key points, methods, and conclusions. The focus is text summarization only—no sentiment analysis or topic modeling—so the interface and code can stay lean.

I am open to your preferred tech stack as long as the final program runs smoothly on Windows and works offline once installed; calling an external LLM API for the heavy NLP lifting is perfectly fine if you wire in a clean settings panel for the API key. The summary should appear in an editable pane so I can copy, tweak, or export it.

Deliverables:
• Executable desktop application with installer
• Source code with clear build instructions
• Documentation (how to add/update the AI model or API key, and expected character limits per run)
• A short test run on at least two publicly available research papers to confirm the output matches the “overview with key points” style

If you have experience integrating PyQt, Electron, or similar frameworks with modern NLP libraries (e.g., Hugging Face, OpenAI), please let me know what you’d choose and why.