Projects, Achievements & Ideas, Some Cool, Most Lame
GDSC AI Hack
First place at the annual AI Hackathon in the Finance Track. Our team developed a PoC for a fantasy game for real world stocks to simplify learning and decrease financial illiteracy.
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Bachelor Thesis
Titled "Beyond Hallucination: Enhancing AI Content Creation with Verifiable Sources Using Retrieval-Augmented Generation" my thesis was supervised by Prof. Emanuele Borgonovo and explores RAG and trust in AI-generated content.
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Neural Network
Implemented from scratch a feedforward neural network in Python using only NumPy. The project included forward and backward propagation, training with gradient descent, and evaluation on standard datasets.
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Atari Breakout with Reinforcement Learning
Implemented an Atari Breakout game (both front and backend) with a human player and an AI agent mode. The latter was trained using reinforcement learning with monte carlo and exploring starts.
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Fantasy Soccer DApp
Developed a decentralized application (DApp) for fantasy soccer using Solidity and JavaScript. The project focused on security, role-based-authentication, token generation and draft mechanism design.
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