Farheena Farooq@Farheena

BugFinderFixer is an AI-powered full-stack web application that helps developers, students, educators, and code reviewers analyse code, detect errors, identify security vulnerabilities, and generate corrected code. It simplifies debugging by explaining issues in plain language instead of cryptic error messages, making it ideal for beginners. The platform supports numerous programming languages including Python, C, C++, Java, JavaScript, TypeScript, Go, Rust, PHP, Ruby, Swift, Kotlin, C#, Scala, Perl, Lua, R, and MATLAB, allowing use across assignments and professional projects. BugFinderFixer detects syntax, runtime, and logic errors, as well as security issues like SQL injection and hardcoded credentials, and highlights poor coding practices. Powered by IBM watsonx Granite 20B Code Instruct v2, it interprets code intent, provides clear explanations, and generates corrected, ready-to-use code. Built with a React frontend and FastAPI backend, the platform offers code submission, language selection, result viewing, side-by-side comparison, and copy-to-clipboard functionality. Deployed on Vercel and Render, it delivers fast, scalable, and secure analysis. Security is maintained with real-time analysis, no code storage, HTTPS communication, input validation, CORS protection, and enterprise-grade hosting. BugFinderFixer bridges the gap between writing code and understanding it, supporting multiple languages, teaching better coding habits, and providing instant, actionable feedback for learning and professional development

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