3MinutesPaperAI - don't waste your time on reading long articles | Arman Zhalgasbayev

Overview: LLM application that generates 3-minute summaries (video, document & audio) of research articles from PDF documents.

Core Technologies:

• Programming Language: Python;
• Frontend Framework: Streamlit;
• LLM: Google Gemini AI API;
• Deploy: Streamlit Share;

Deliverables: web application with functionality for uploading PDFs and adjusting settings for generating summaries in video, text & audio formats.

How to use, just open: 3minutespaperai.streamlit.app

My works:

• Miro Workflow: https://miro.com/welcomeonboard/dXpDdkJrWkJaS3AzeEl6RG5aTlo2Y3M5U3hTMVlxTHlad0hINDFKMk04Q1ZUb0NQV212QkdDdnhHb3dnZWJ2dHwzMDc0NDU3MzUwNjY3NDk1ODU4fDI=?share_link_id=860357887297
• Kaggle Gemini: https://www.kaggle.com/code/armanzhalgasbayev/gemini-api-practice-llm-funcs

Typeform to submit:

https://docs.google.com/forms/d/e/1FAIpQLSfjnACTWf5xYKInMllmhy5Bchc-DnOXw6vEXsHmXI4XFPwZXw/viewform?usp=sf_link

DEADLINE: 26/05/2024 10:00

Example Video [edited manually with CapCut]: Fine-tuning the Gemma model for Kaggle Assistant | 3 Minutes Paper AI | No. 1