This project is an AI-powered coding assistant that helps users solve competitive coding problems (CCP) more effectively using a Retrieval-Augmented Generation (RAG) framework.
Instead of scraping or storing copyrighted content, this tool allows users to paste their own problem statements, test cases, and constraints. The assistant then provides intelligent, context-aware help tailored specifically to the user's input.
- Provides relevant assistance using the RAG framework
- Accepts user-pasted problem statements, avoiding copyright issues
- Understands and respects constraints such as time and memory limits
- Helps analyze and debug sample test cases
- Focused on ethical and compliant usage
Users paste their own problem statements along with any sample inputs, outputs, and constraints. The assistant processes this input using retrieval and language generation techniques to offer targeted suggestions, code explanations, or full solutions when requested.
- Competitive programming practice
- Learning algorithmic thinking
- Debugging custom problems with specific constraints
- Getting assistance without relying on copyrighted platforms
- Deliver accurate, personalized support for coding problems
- Encourage ethical use of AI in competitive programming
- Provide an alternative to traditional scraping-based bots or extensions