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M.E. Project Report
M.E. Unified Citizen Grievance Prediction System Final Year Project Report
Get structured M.E. Unified Citizen Grievance Prediction System Final Year Project Report Final Year Project Report and Documentation with project objectives, methodology, system design, diagrams, implementation details, testing and complete project explanations. Suitable as a learning, documentation and project-presentation resource for students working on related final year projects.
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Abstract
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Table of Content
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01
Introduction
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02
Problem Statement
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03
Existing System
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04
Proposed System
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05
Objectives
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06
System Architecture
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07
Major Functional Modules
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08
Hardware Requirements
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09
Software Requirements
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10
Future Enhancement
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11
Conclusion
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12
References
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Abstract
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Table of Content
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01
Chapter 1 — Introduction
- 1.1 Background of the Project
- 1.2 Problem Statement
- 1.3 Objectives of the System
- 1.4 Scope of the Project
- 1.5 Existing System Overview
- 1.6 Proposed System Overview
- 1.7 Technologies Used
- 1.8 Overview
- 1.9 Limitations
- 1.10 Advantages
- 1.11 Disadvantages
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02
Chapter 2 — Literature Review / System Study
- 2.1 Introduction
- 2.2 Review of Similar Systems
- 2.3 Comparative Analysis
- 2.4 Software Development Models
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03
Chapter 3 — System Analysis
- 3.1 Introduction
- 3.2 Functional Requirements
- 3.3 Non-Functional Requirements
- 3.4 User Requirements
- 3.5 Feasibility Study
- 3.5.1 Technical Feasibility
- 3.5.2 Economic Feasibility
- 3.5.3 Operational Feasibility
- 3.6 System Architecture
- 3.7 Data Flow Diagram (Level 0)
- 3.8 Data Flow Diagram (Level 1)
- 3.9 Data Flow Diagram (Level 2)
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04
Chapter 4 — System Design
- 4.1 Introduction
- 4.2 Use Case Diagram
- 4.3 Class Diagram
- 4.4 Sequence Diagram
- 4.5 Activity Diagram
- 4.6 ER Diagram
- 4.7 Database Schema
- 4.8 Table Structures
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05
Chapter 5 — System Implementation
- 5.1 Introduction
- 5.2 Development Environment
- 5.3 Tools and Technologies Used
- 5.4 Hardware Requirements
- 5.5 Software Requirements
- 5.6 Module-wise Implementation
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06
Chapter 6 — Testing
- 6.1 Introduction
- 6.2 Testing Strategy
- 6.3 Unit Testing
- 6.4 Integration Testing
- 6.5 System Testing
- 6.6 Test Cases
- 6.7 Bug Reports
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07
Chapter 7 — Results and Discussion
- All screenshots
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08
Chapter 8 — Conclusion and Future Enhancements
- 8.1 Conclusion
- 8.2 Future Enhancements
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09
Chapter 9 — References
Project's Overview
Unified Citizen Grievance Prediction System is a Python Flask based final year project developed for managing civic complaints, citizen grievances, department assignment, complaint tracking, reports, and AI-powered issue prediction. This major project includes a public website, citizen portal, and admin console. Citizens can register, log in, submit complaints, track complaint status, upload evidence, view notifications, download receipts, check area-wise risk predictions, update profile, change password, and submit feedback after resolution. Admins can manage departments, categories, areas, wards, complaint types, citizens, complaints, training data, ML predictions, reports, notifications, FAQs, site content, feedback, backup/restore, profile, and password settings. This citizen grievance prediction system source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Flask, SQLite, machine learning, and civic issue management.
Login Credentials
Admin Account
- Username:
admin - Password:
admin123 - Email:
[email protected] - Access: Full admin console
Demo Citizen Accounts
All demo citizens use password:
password123
Demo users:
- Username:
john_doe
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- Admin login and logout in this final year project
- Admin dashboard with total complaints, pending complaints, in-progress complaints, resolved complaints, rejected complaints, citizens, and high-risk areas
- Recent complaints table with citizen names
- Category distribution progress bars
- Quick actions for pending queue, add complaint, ML predictions, reports, and model training
- Department CRUD management
- Add department with name, description, head name, contact email, phone, and active status
- Edit department details
- Delete department records
- Category CRUD management
- Add complaint category
- Edit category details
- Manage category icon and active status
- Delete category records
- Area CRUD management
- Add area
- Edit area details
- Delete area records
- Ward CRUD management
- Add ward with ward number and linked area
- Edit ward details
- Delete ward records
- Complaint type CRUD management
- Add complaint type linked to category
- Edit complaint type
- Delete complaint type
- Citizen management
- Add citizen account
- Edit citizen profile
- Delete citizen account
- Manage citizen active status
- Complaint management
- View all complaints
- View pending complaints
- View in-progress complaints
- View resolved complaints
- View rejected complaints
- View repeated complaints
- Add complaint manually for any citizen
- Edit complaint details
- View full complaint details
- Delete invalid complaints
- Verify complaint authenticity
- Assign complaint to department
- Update complaint status
- Add admin remarks
- View complaint history and audit trail
- Manage category-wise complaint views
- Manage complaint priority: Low, Medium, High, Emergency
- Manage complaint image and document uploads
- ML prediction management
- View prediction results
- View high-risk areas
- View confidence scores
- Train Random Forest model
- Generate ward-wise area forecast
- Training data management
- Add historical issue records
- View training data records
- Clean duplicate training records
- Reports management
- Generate area-wise reports
- Generate ward-wise reports
- Generate department-wise reports
- Generate category-wise reports
- Generate monthly reports
- Generate resolved complaint reports
- Generate pending complaint reports
- View reports in browser
- Print reports
- Download PDF reports
- Notification management
- View notification logs
- Send notification to individual citizen
- Broadcast notification to all citizens
- Feedback management
- View citizen ratings and comments
- FAQ CRUD management
- Site content management
- Edit landing banner
- Edit About page content
- Edit Contact page content
- Backup and restore SQLite database
- Admin profile update
- Admin password change
- Citizen registration in this final year project
- Citizen login and logout
- Forgot password demo recovery
- Citizen dashboard with complaint statistics
- View total complaints
- View pending complaints
- View in-progress complaints
- View resolved complaints
- View rejected complaints
- View recent complaints
- Quick complaint shortcuts by category
- View unread notifications
- View area risk alerts from ML prediction
- Submit general complaint
- Submit category-specific complaint
- Submit water leakage complaint
- Submit electricity fault complaint
- Submit road damage complaint
- Submit drainage complaint
- Submit garbage complaint
- Submit street light complaint
- Add complaint title and description
- Select category and complaint type
- Select priority
- Select area and ward
- Add location and coordinates
- Upload complaint image
- View all submitted complaints
- Search complaints by reference number or title
- Filter complaints by status
- Filter complaints by category
- View complaint status and verification badge
- View complaint details
- View assigned department
- View admin remarks
- View complaint activity timeline
- View evidence photo
- Edit complaint before verification
- Cancel complaint before verification
- Download or print complaint receipt
- View notifications
- Auto-mark notifications as read
- Open related complaint from notification
- View AI-predicted civic issues by area
- View high-risk zones and confidence scores
- Use area selector for detailed forecasts
- Update full name, email, phone, and address
- Change password
- Submit feedback for resolved complaints
- Rate service from 1 to 5 stars
- Submit improvement suggestions
- View searchable FAQ
- Access helpline and help links
- Complete citizen grievance prediction system source code
- Suitable for final year project, major project, and minor project
- Project report content can be prepared from included modules
- Public Website, Citizen Portal, and Admin Console included
- Complaint lifecycle management
- Complaint status flow: Submitted → Verified → Assigned → Resolved / Rejected
- Category-specific complaint submission
- Civic categories: water, electricity, road, drainage, garbage, street light, public safety
- Complaint image and document upload support
- Notification system
- Feedback and rating system
- Backup and restore system
- SQLite database
- Flask-SQLAlchemy ORM
- Flask-Login authentication
- Flask-WTF form validation
- Werkzeug password hashing
- PDF generation using ReportLab
- Bootstrap 5 frontend
- Font Awesome icons
- Seed data included
- API endpoints for dynamic wards and complaint types
- Useful for viva, source code review, project report writing, and project demonstration
How to run this code?
-
Open project folder:
cd "Unified Citizen Grievance Prediction System" -
Create virtual environment:
python -m venv venv -
Activate virtual environment on Windows:
venv\Scripts\activate -
Activate virtual environment on Linux/macOS:
source venv/bin/activate -
Install dependencies:
pip install -r requirements.txt -
Seed database with demo data:
python seed.py -
Start application:
python app.py -
Alternative run command:
python run.py -
Open public landing page:
http://localhost:5000 - Open citizen login:
http://localhost:5000/login
- Open citizen portal:
http://localhost:5000/user/dashboard
- Open admin console:
http://localhost:5000/admin/dashboard
README Included
Setup Support Available
Admin Account
- Username:
admin - Password:
admin123 - Email:
[email protected] - Access: Full admin console
Demo Citizen Accounts
All demo citizens use password:
password123
Demo users:
- Username:
john_doe