Sneh Raunak
Full-Stack & AI/ML Developer | React, FastAPI, TypeScript
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The application demonstrates end-to-end full-stack web development using the MERN stack: MongoDB, Express.js, React and Node.js, including a modern storefront, product discovery, shopping cart and backend-driven application architecture.
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The application demonstrates end-to-end full-stack web development using the MERN stack: MongoDB, Express.js, React and Node.js, including a modern storefront, product discovery, shopping cart and backend-driven application architecture.
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The project is an end-to-end machine-learning web application with a React + TypeScript frontend and FastAPI + Python ML backend. It predicts student academic risk and provides explainable insights, uncertainty analysis, personalized recommendations, and authenticated access.
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Full-stack and AI/ML development portfolio featuring modern web applications, scalable APIs, and intelligent product experiences built with React, TypeScript, FastAPI, Node.js, Python, and machine learning.
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