EasyQuery: A Conversational Database Query System
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Designed and implemented an AI-powered conversational interface to enable natural language querying of SQL databases, abstracting away the complexity of SQL. Read more
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Designed and implemented an AI-powered conversational interface to enable natural language querying of SQL databases, abstracting away the complexity of SQL. Read more
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Built a multi-interface application to download, transcribe, and summarize YouTube videos, enabling semantic search and conversational Q&A on video content. Read more
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Architected and built an intelligent system for advanced web crawling, information extraction, and Retrieval-Augmented Generation (RAG) to enable conversational querying of web content. Read more
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Developed a specialized medical chatbot using Llama-2 and a RAG pipeline to provide accurate, source-based responses to medical queries. Read more
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Created and published a web-based application and PyPI package that allows users to train custom image classification models without writing any code. Read more
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Developed an end-to-end deep learning pipeline for classifying kidney tumors and stones from medical images, with a focus on MLOps best practices. Read more
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Engineered a full-stack web application using ASP.NET to serve the AIUB student community with features for resume building, job searching, and networking. Read more
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Built a real-time emotion classification system by training a custom deep learning model and serving it via a Flask API and web interface. Read more
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Developed a user-friendly web application for discovering, managing, and listening to podcasts, built with a classic LAMP stack. Read more
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Built an end-to-end fashion recommendation system using ResNet-50 for deep feature extraction and KNN for similarity matching. Read more
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Developed a 2D Chrome Dino-style endless runner game from scratch using C++ and the OpenGL graphics library (freeglut). Read more