Book Bud is an AI-powered study assistant I built to help students learn directly from their PDFs. It lets users upload any textbook, and the backend processes it by extracting text, creating chunks, and generating vector embeddings. Using the Gemini API, the app provides a ChatGPT-style tutor that answers questions with proper citations from the PDF. It can automatically generate quizzes—MCQs, SAQs, and LAQs—with explanations and grading. I also built features like a PDF manager, YouTube learning recommendations, quiz history, and a progress dashboard that tracks performance over time.
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Personal Dashboard for company to manage their employees attendance, timesheet, info etc.
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Vector Shift
Tool to design ML models on user interfaces
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Latency Topology Visualizer
Built an interactive web application using Next.js and Three.js to visualize real-time and historical network latency across global exchange infrastructures. Implemented dynamic 3D globe rendering, animated latency paths, and provider-based filtering with performance-optimized rendering. The project includes real-time data handling, responsive UI, and interactive visual analytics for monitoring network performance.