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VoxVeritas
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• Created a Python script utilizing XGBoost for training a machine learning model capable of distinguishing between human and AI voices
• Implemented preprocessing techniques to extract relevant features from audio data, ensuring optimal model performance
• Evaluated and fine-tuned the XGBoost model to achieve high accuracy in voice classification tasks using hyper-parameter tuning.
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XamDiv
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• Created a portable exam-taking device using Vue.js, Vuetify, and Axios for the frontend, providing a user-friendly interface for professors and students
• Implemented Python with FastAPI and Uvicorn for the backend, ensuring robust functionality and efficient data handling during exams
• Deployed on Raspberry Pi servers with Manjaro OS, utilizing Nginx as the web server for seamless performance and scalability in exam management.
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MultiplayerPacman
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• Recreated Pacman in Unity but with enhanced gameplay features such as multiplayer capabilities
• Implemented randomly generated maps to ensure each game session offers unique challenges and surprises, enhancing replayability
• Introduced various power-ups that players can strategically use to gain advantages or disrupt opponents, adding depth and excitement to the gameplay dynamics
