Source Code
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Final Year CSE Projects, Source Code, Documentation & 24/7 Assistance.
Ambulance Booking (Patient, Driver & Admin Dashboard)
A full-stack, real-time online ambulance booking and dispatch system. It connects patients with the nearest available ambulances within a 50km radius using GPS tracking. Technologies Used : Frontend : React Backend : Flask (Python) DB : SQLite3 Location Service : OpenStreetMap Features : Features include real-time location tracking on interactive maps, a 4-digit OTP verification system for secure patient pickups, driver dispatch notifications, and an automated fare/distance calculation upon trip completion. Important : The system supports three user roles: Patients (book rides), Drivers (accept/manage trips via a driver portal), and Hospital Admins (manage fleet and hospital data).
Marine Life & Waste Detection
An AI-powered underwater detection system for identifying marine species and underwater waste using computer vision and deep learning. Features : - Underwater Waste Detection - Detect 14+ types of underwater pollution (bottles, bags, nets, etc.) - Marine Species Detection - Identify sharks, turtles, rays, fish, and invertebrates - Video Detection - Process uploaded videos for detection - Live Analysis - Real-time detection from YouTube live streams and videos
Healthcare Patient Flow & Waiting Room Analytics
Healthcare Patient Flow & Waiting Room Analytics : PulseFlow Auditor is an advanced healthcare operational intelligence system that analyzes 171,064 (dataset cce licensed / kaggle) patient journeys to optimize hospital efficiency, predict capacity constraints, and quantify financial impact in Indian healthcare context. The system uses data-driven statistical analysis instead of arbitrary benchmarks to provide actionable insights for healthcare administrators. 🔧 Technical Stack : Backend: Python (Pandas, NumPy, SQLite3, PyWebView) Frontend: React 18 (Recharts, TailwindCSS, Vite) Database: SQLite with 171,064 patient journeys Architecture: Real-time Python-JavaScript bridge ⚡ Key Features : Advanced Analytics 9 Comprehensive KPIs: Operational, financial, and patient experience metrics Predictive Modeling: 24-hour volume forecasting with confidence intervals Real-Time Monitoring: Live alerts and capacity tracking Statistical Engine: Percentile-based thresholds (no arbitrary values)
Payment Fraud Detection (UPI & Cards)
Overview: UPI & Cards Payment Fraud Detection System This project is a standalone, AI-powered fraud detection system specifically designed for UPI (Unified Payments Interface) and card-based payment transactions. It leverages high-performance machine learning and a rule-based validation engine to identify potential fraudulent activity in real-time. Key Features : Real-Time Standalone Inference: Runs entirely within the browser using Pyodide (WebAssembly). This eliminates the need for a backend API for predictions, ensuring low latency and maximum privacy. Dual-Model Ensemble: Uses a weighted ensemble of XGBoost and LightGBM models, achieving a high degree of accuracy by combining the strengths of different gradient boosting architectures. UPI Validation Engine: Includes a specialized rule engine to catch structurally invalid Virtual Payment Addresses (VPAs) and Unique Transaction Reference (UTR) numbers specific to apps like GPay, PhonePe, and Paytm. Privacy-First History: Automatically saves transaction history to a local SQLite3 database (sql.js) stored within the browser's IndexedDB. No sensitive transaction data ever leaves your device. Advanced Feature Engineering: Automatically transforms raw transaction data into 447 engineered features, capturing complex temporal and statistical patterns found in real-world fraud. Comprehensive Metrics: Provides instant feedback with fraud probability scores (0–100%), risk levels (Low, Medium, High), and detailed performance insights. Technical Specifications: Model Performance: 98.45% Accuracy and 0.965 ROC-AUC, trained on over 590,000 real-world transactions (IEEE-CIS dataset). Frontend Stack: Built with React.js, Vite, and Tailwind CSS for a modern, responsive, and "Cyber-Fintech" user experience. Machine Learning: XGBoost (Binary Logistic) + LightGBM (GBDT) with weighted ensemble logic. Deployment: Fully client-side; can be served as a static site while maintaining full AI capabilities.
Parking Booking and Real Time Analysis
The frontend of the Smart Parking System is a responsive web application built with React and Vite. It provides an intuitive interface for users to interact with the parking predictor system. Key features include: - Real-Time Dashboard: Monitor live parking lot occupancy and slot statuses. - Interactive Map: Navigate to available parking slots using an integrated Leaflet map. - Slot Booking & Dynamic Pricing: Reserve parking slots with real-time price estimation based on current demand and time. - Occupancy Prediction Charts: View LSTM-based predictions for future parking occupancy trends using Chart.js.
PG & Mess Management - Client+Admin (MERN Stack)
PG Life is a comprehensive, MERN-stack based management system that streamlines Paying Guest House and Restaurant operations. It empowers administrators to efficiently manage rooms, mess plans, bookings, and support tickets, while providing a dedicated portal for students and users to request accommodations, report issues, and stay informed with announcements. Admin Features: - Room Management: Create, view, and delete room listings with details like size, price, bathroom status, and owner info. - Mess Management: Manage mess plans and daily menus. - Booking Control: Approve or cancel room and mess bookings. - Support Tickets: Respond to and close support tickets raised by residents. - Announcements: Post system-wide news and updates for all users. - Dashboard Overview: View key statistics like total users, estimated revenue, and open tickets. Client (Student/User) Features: - Room Browsing: Browse available rooms with filtering and search options. - Room Booking: Request room accommodations based on availability. - Mess Booking: Subscribe to mess plans for daily meals. - Support Tickets: Raise tickets for maintenance or any issues. - Announcements: Stay updated with the latest PG news and updates. - Reviews: Submit reviews and ratings for rooms and services.
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