An intelligent machine learning web application designed to predict employee salaries with high accuracy. The system utilizes advanced regression algorithms including Linear Regression, Random Forest, and Gradient Boosting to analyze various factors such as years of experience, education level, job role, and location. Features include interactive data visualization, real-time predictions, model performance metrics, and a user-friendly Flask-based web interface. The application helps HR departments and organizations make data-driven salary decisions and maintain competitive compensation strategies.

A comprehensive Point of Sale (POS) system specifically designed for restaurants and food businesses. The application streamlines order management, inventory tracking, and sales analytics in real-time. Key features include multi-table management, customizable menu items, order queue system, payment processing integration, detailed sales reports, and inventory alerts. Built with Flutter for cross-platform compatibility, it offers a smooth and intuitive interface for both waitstaff and kitchen staff. Firebase backend ensures real-time synchronization across multiple devices, making it perfect for busy restaurant environments.

A feature-rich mobile application developed for the Computer Applications department at Integral University. The app serves as a centralized platform for students, faculty, and administrators. Features include student profile management, course enrollment and tracking, attendance monitoring, assignment submission portal, grade viewing, event notifications, faculty directory, and academic calendar. The app also includes a notice board for department announcements, resource sharing capabilities, and a feedback system. Built with Flutter for seamless performance on both Android and iOS platforms, with Firebase providing secure authentication and real-time data synchronization.

A comprehensive personal finance management application that helps users take control of their financial health. The app features intelligent expense tracking with automatic categorization, customizable budget planning with alerts, income and expense analysis, recurring transaction management, and detailed financial reports with interactive charts. Users can set financial goals, track savings progress, and receive insights on spending patterns. The application includes data export functionality, multi-currency support, and secure local data storage using SQLite. Beautiful data visualizations powered by Flutter Charts make financial data easy to understand at a glance.

An advanced AI-powered healthcare application designed to predict Adverse Drug Reactions (ADR) using machine learning algorithms. The system analyzes patient data, medication history, and drug interactions to assess potential risks before prescribing medications. Features include real-time risk assessment, drug interaction checker, patient profile management, comprehensive medication database, and detailed risk reports with recommendations. Built with cutting-edge ML models trained on extensive pharmaceutical data, the application helps healthcare professionals make informed decisions and improve patient safety. The system provides accuracy metrics, confidence scores, and alternative medication suggestions to minimize adverse reactions.

An intelligent cardiovascular disease prediction system that leverages machine learning to detect heart disease with 88% accuracy. The application analyzes multiple health parameters including age, blood pressure, cholesterol levels, ECG results, and lifestyle factors to predict the likelihood of heart disease. Features include comprehensive health assessment, risk factor analysis, personalized health recommendations, historical data tracking, and detailed medical reports. The ML model is trained on extensive cardiovascular datasets and validated by medical professionals. The system provides early warning signs, preventive measures, and lifestyle modification suggestions to help users maintain heart health and seek timely medical intervention.

A sophisticated AI-powered tool designed to combat misinformation by detecting fake news in articles and identifying deepfake images. The system employs advanced Natural Language Processing (NLP) techniques to analyze article content, writing patterns, source credibility, and factual consistency. For image verification, it uses computer vision and deep learning models to detect manipulated or AI-generated images. Features include real-time fact-checking, source verification, credibility scoring, detailed analysis reports, and browser extension integration. Powered by Google Gemini AI for enhanced accuracy, the application helps users verify information authenticity, identify propaganda techniques, and make informed decisions in the digital age. The system continuously learns from new data to improve detection capabilities.