Inspiration
We wanted to help coders save time by identifying where they might be going wrong and providing solutions tailored to their logic. Our model fixes the code minimally to make it work, explaining the logic clearly while keeping variables and structure intact.
What it does
Detects when users spend over 30 minutes on a LeetCode problem and provides tailored code explanations, working solutions, and video tutorials.
How we built it
Using React/Vite for the frontend, Gemini Nano for AI integration, and Chrome Extension APIs for seamless browser functionality.
Challenges we ran into
Integrating Gemini Nano with Chrome was challenging, especially understanding its workings and how to integrate it with an extension. As beginners in React, creating a solution where results open in a new window was a significant learning curve.
Accomplishments that we're proud of
We learned a lot of new technologies, including React, Gemini Nano, and Chrome Extension development, and built a functional tool that enhances coding productivity.
What we learned
How to integrate AI with browser extensions to provide an improved, user-friendly coding experience.
What's next for LeakCode
We plan to add more AI-powered features, enhance functionality, and expand support to additional coding platforms.



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