Intuitive Paper: An Efficient and Affordable System for Understanding Technology

Revolutionizing Research Efficiency for Scientists & Entrepreneurs Github Link

Problem Statement

This project streamlines the process of finding relevant research papers, benefiting both scientists and entrepreneurs. By utilizing the arXiv API and local LLMs, the platform extracts key information, generates concise summaries, and rates papers based on citation count and impact factor. A clear graph of reference relationships helps trace ideas efficiently, while integrated code replication allows for easy testing of models. This free resource saves time and offers a systematic approach to accessing cutting-edge technology and innovation.

Design Process

Wireframes

UI Design

Development Process

Tech Stack

The application was built using PHP for server-side scripting, SQL database querying, and Tailwind CSS for rapid, responsive design.

API Integrations

Google Analytics APIs were integrated to track user engagement. The arXiv API was used to fetch research papers and extract relevant data for analysis.