Projects Overview
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Store Management System (DBMS Project) A database-driven application built using SQL to manage store inventory, sales, and customer data efficiently.
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Convex Hull Visualization (DST Project 2) Implemented Convex Hull algorithm in C++ with file handling and integrated Python plotting for visual representation of results.
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Titanic Survival Prediction (Machine Learning) Developed a predictive model on the Kaggle Titanic dataset, applying data preprocessing, feature engineering, and ML algorithms to classify survival outcomes.
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Automatic Door Opening System Designed an Arduino UNO-based system using C programming and microcontroller logic to automate door opening based on sensor input.
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Real-Time Multi-Object Detection Built a Computer Vision application leveraging YOLOv3 architecture for accurate real-time detection of multiple objects in video streams and still images.
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NewsGuardian – Fake News Detection Created a Fake News Detection model using Word2Vec embeddings and an LSTM neural network in Jupyter Notebook to classify news articles as real or fake.