This project presents a web-based Flight Booking System designed to automate airline reservation processes such as flight scheduling, passenger management, seat allocation, and ticket booking. It addresses issues found in manual systems, including overbooking and inefficient data handling. Developed using Node.js, React, and MySQL, the system enables administrators to manage flights and bookings while allowing users to search flights, select seats, and book tickets in real time. With secure authentication and a user-friendly interface, the system improves operational efficiency, ensures data security, and provides a reliable solution for airline reservation management.

This project introduces a Smart Multi-Vendor Billing and Inventory Optimization System aimed at improving efficiency for small-scale retailers. It automates billing, manages inventory in real time, and supports multiple vendors on a single platform. By integrating inventory optimization techniques like EOQ and ABC analysis along with predictive models such as ARIMA and Prophet, the system enables accurate demand forecasting and better stock control. Built on a cloud-based architecture with real-time dashboards, it helps reduce manual errors, prevent overstocking and stockouts, and supports data-driven decision-making, ultimately enhancing business efficiency and sustainability.

This project proposes a ticketless (no-base) parking system designed to improve efficiency in urban parking management. It eliminates manual processes by using technologies such as Automatic Number Plate Recognition (ANPR), IoT-based sensors, and cloud computing. The system automatically detects vehicle entry through license plates, assigns parking slots, and calculates parking duration upon exit. Payments are processed digitally without physical interaction, reducing congestion, saving time, and enhancing overall parking management.

This project presents a Dynamic Quiz Preparation System designed to personalize learning by adapting quiz questions based on individual student performance. Developed using Django and Django Rest Framework (DRF), the system uses an adaptive learning algorithm to analyze previous results and generate suitable MCQs. It stores user data, quiz history, and performance records, and provides instant feedback with performance reports. By adjusting difficulty levels dynamically, the system enhances student engagement, improves learning outcomes, and reduces manual workload for teachers, making it suitable for modern educational environments.

This project presents a web-based School Management System developed using Django to streamline and automate administrative tasks such as student records, attendance, and financial management. It centralizes data for administrators, teachers, and students while ensuring security through Role-Based Access Control (RBAC). Key features include automated attendance tracking, real-time notices, financial record management, and an admin approval system for verified registrations. Built on the Model-View-Template (MVT) architecture, the system offers scalability, efficiency, and a user-friendly interface, ultimately reducing manual workload, minimizing errors, and improving communication within the institution.

This project presents an online proctoring system for remote coding interviews that enhances assessment integrity through real-time monitoring and automated suspicious behavior detection. The platform allows interviewers to create coding challenges, conduct live interviews, and monitor candidates using video streaming, screen sharing, and behavioral analysis. Integrated with Judge0 for online code execution and YOLO for AI-based monitoring, the system tracks activities such as face movement, typing behavior, clipboard usage, and tab switching. Built with Next.js, Express.js, and WebRTC, the platform provides a secure, efficient, and fair environment for technical interviews.

This project implements a dual-algorithm lossless data compression system using Huffman Coding and Shannon-Fano algorithms to optimize digital storage and transmission. Developed using Python and C++, the system compresses and decompresses files by generating binary encoding trees based on character frequency while preserving complete data integrity. The project demonstrates efficient file size reduction, with Huffman Coding achieving better compression rates and Shannon-Fano providing simpler and faster processing for smaller datasets. The solution can be applied in storage systems, network transmission, and archival management to improve digital resource efficiency.

The Food Delivery System with Admin Panel is a responsive web application designed to simplify online food ordering and restaurant management. Developed using HTML, CSS, JavaScript, PHP, and MySQL, the platform allows users to browse categorized food items, manage carts, place orders, and track deliveries in real time. The system also includes an admin panel that enables restaurant administrators to manage menus, update food availability, and monitor order statuses through CRUD operations. With its scalable architecture and user-friendly interface, the application provides an efficient digital solution for modern food ordering services.

This project presents an intelligent job recommendation system that provides personalized job suggestions based on users’ skills, experiences, and preferences. The system uses content-based filtering and Random Forest classification techniques to analyze job descriptions, required qualifications, industries, and user profiles for accurate job matching. Users can create and update their profiles, allowing the platform to dynamically recommend relevant opportunities as new listings are added. By improving recommendation accuracy and user engagement, the system simplifies the job search process and enhances the overall recruitment experience.

The Learning Platform with Sign Language Translator is an inclusive educational system that combines real-time sign language recognition with interactive learning features. The platform translates sign gestures into text and speech using machine learning, enabling effective communication between deaf and hearing individuals. It also provides structured lessons, quizzes, and progress tracking to support sign language learning. Designed with a user-friendly and scalable architecture, the system promotes accessibility, inclusivity, and social integration through technology-driven communication and education.

This project presents a Content Filtering-Based Book Recommender System designed to provide personalized book suggestions based on user preferences and interaction patterns. Using memory-based and model-based content filtering techniques, the system analyzes user ratings to predict relevant recommendations. The dataset was sourced from Kaggle and processed using machine learning methods to improve recommendation accuracy and user engagement. The deployed system demonstrates the practical application of recommender systems in delivering personalized content and enhancing user experience.

The 3D Boss Battle Game is an immersive action-based game designed to deliver intense combat experiences through visually rich environments and AI-driven boss encounters. Built using a 3D game engine, the project incorporates real-time physics, animation blending, responsive controls, and strategic combat mechanics to create engaging gameplay. Players battle smaller enemies and progressively challenging bosses with unique attack patterns and behaviors. Developed using Agile methodology, the game emphasizes iterative improvement, user feedback, and immersive storytelling to provide a thrilling and skill-based gaming experience.

This project presents a multiplayer first-person shooter (FPS) game developed in Unity, featuring competitive online gameplay, realistic gun mechanics, and round-based match structures. Integrated with networking solutions such as Photon PUN, the game supports real-time multiplayer interactions, synchronized gameplay, and responsive shooting mechanics. The system focuses on delivering an immersive FPS experience through optimized performance, balanced gameplay, and efficient network communication. The project also emphasizes fair matchmaking, realistic controls, and smooth player interaction for an engaging competitive environment.