Traffic Light Controller
Developed in Verilog. Designed as a circuit-based simulation of a real-time traffic management system, inspired by IC and Arduino implementations for automated signal control.
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Airline Management System
Developed in C language. Console-based program for ticket booking and flight management. Provides structured operations for schedules, seat reservations, and basic passenger data handling.
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Bank Management System
Developed in Java (Swing). GUI-based system for banking operations with authentication. Manages accounts, deposits, withdrawals, loans, and transaction reporting in an interactive desktop interface.
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Restaurant Management System
Developed in SQL + Java. Database-backed application integrated with Oracle for backend operations. Streamlines restaurant workflows including orders, billing, inventory tracking, staff records, and detailed reports.
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Portfolio Website
Developed in React with HTML, CSS, JavaScript. Interactive personal website featuring smooth UI/UX, responsive design, and project showcases. Backend powered by Node.js for scalability and form handling.
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Metro Management System
Developed in PHP + Bootstrap. Web-based system for metro operations including passenger registration, ticket booking, and real-time scheduling. Provides a clean, responsive interface with role-based access.
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DX Ping Pong Ball Game
Developed in C++ with GLUT. OpenGL-based table tennis game featuring paddle control, collision physics, and scoring. Includes brick-breaking challenges and power-ups for enhanced gameplay experience.
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2 Player Memory Game
Developed in HTML, CSS, JavaScript. Interactive card-flip memory challenge with scoring and turn tracking for two players. Backend powered by Laravel PHP for storing game data and leaderboards.
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Guava Detection System (Capstone)
Developed a web-based application for classifying guava fruits and leaves using Deep Learning (YOLOv11). Flask APIs serve the trained model with Grad-CAM visualization for explainability. Features responsive frontend for uploads, data augmentation pipeline, GPU-optimized training, and disease remedy suggestions. Contributed research presented in academic symposium on AI in smart agriculture.
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AI/ML Mini Projects
Implemented machine learning models across regression, classification, and clustering tasks. Projects include diabetes prediction, sentiment analysis, house price forecasting, customer segmentation, and anomaly detection using Python libraries such as Scikit-learn, NumPy, and Pandas.
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