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Build an AI-Powered Citizen Complaint Management System using Deep Learning and Flask. The system automatically classifies civic issues from uploaded images, enables complaint tracking, provides an admin dashboard, real-time notifications, and status management. Ideal for Final Year Engineering, B.Tech, BE, BCA, MCA, CSE, IT, and AI & ML students.
Complete user authentication module with full implementation
Complete citizen dashboard module with full implementation
Complete admin dashboard module with full implementation
Complete complaint management module with full implementation
Complete ai detection module (yolov5) module with full implementation
Complete image upload module module with full implementation
Complete complaint tracking module with full implementation
Complete user management module with full implementation
Complete real-time chat module module with full implementation
Complete email notification module module with full implementation
Processor
Intel Core i5 (8th Gen) / AMD Ryzen 5 or higher
RAM
8 GB Minimum (16 GB Recommended)
Storage
20 GB Free Disk Space
GPU
NVIDIA GPU (Optional, recommended for YOLOv5 training)
Internet
Required for package installation and updates
Operating System
Windows 10/11, Ubuntu 20.04+, or macOS
Python
Python 3.10 or later
PyTorch
Latest Stable Version
YOLOv5
Ultralytics YOLOv5
OpenCV
Latest Version
SQLite
SQLite 3
Visual Studio Code
Latest Version
Web Browser
Google Chrome, Microsoft Edge, or Mozilla Firefox
The AI-Powered Citizen Complaint Management System is a web-based application that uses the YOLOv5 object detection model to automatically detect and classify civic issues from uploaded images. It helps citizens report problems and enables authorities to manage and resolve complaints efficiently.
This project is developed using Python, Flask, YOLOv5, PyTorch, OpenCV, HTML, CSS, JavaScript, SQLite, Flask-SocketIO, and SMTP for email notifications.
The AI model can detect and classify seven types of civic issues: Broken Streetlight, Damaged Footpath/Sidewalk, Flood, Garbage, Open Manhole, Sewage Leak, and Water Leakage.
Yes. This project is suitable for Final Year Engineering, B.Tech, BE, BCA, MCA, Computer Science, Information Technology, and Artificial Intelligence & Machine Learning students who want to build a real-world AI-powered web application.
The project includes user registration and login, complaint image upload, AI-based complaint detection, complaint tracking, admin dashboard, user management, live chat support, email notifications, and complaint status management.
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