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JanSevai – AI-Powered Citizen Grievance Management Platform

Inspiration

Public grievance systems often suffer from slow processing, poor transparency, and inefficient communication between citizens and authorities. People frequently struggle to know whether their complaints have been received, verified, or resolved. We wanted to build a modern platform that simplifies complaint registration while helping organizations manage and resolve issues more efficiently.

Jansevai was inspired by the idea of creating a transparent, AI-powered digital grievance management system that improves communication between citizens and administrators through automation, real-time tracking, and location verification.

What it does

Jansevai is a full-stack grievance management platform that enables citizens to submit complaints with supporting images and location information. The platform automatically stores complaint details, allows administrators to review and update complaint status, and provides users with real-time progress tracking.

Key features include:

Secure user authentication
Complaint registration with image upload
GPS-based location verification
AI-assisted complaint categorization
Real-time complaint status tracking
Admin dashboard for complaint management
Verify Email via otp
Analytics dashboard for monitoring complaints

How we built it

Frontend

React.js *Bootstrap
CSS

Backend

Node.js
Express.js

Authentication

Amazon Cognito

Cloud Services

AWS Lambda
Amazon API Gateway
Amazon S3
Amazon DynamoDB

Database

Amazon DynamoDB stores user profiles, complaint records, complaint status, and related metadata, providing a scalable serverless database solution.

Deployment

Frontend deployed on Amplify
Backend deployed on AWS

Challenges we ran into

One of the biggest challenges was integrating multiple AWS services into a seamless workflow. Configuring Amazon Cognito authentication, securely uploading images to Amazon S3, and connecting the backend APIs with DynamoDB required careful planning.

Another challenge was implementing reliable location verification and ensuring that complaint information remained synchronized between the frontend, backend, and database. Debugging API responses and handling asynchronous cloud services also required extensive testing.

What we learned

During this project, we gained practical experience with:

Building scalable serverless applications on AWS
Integrating Amazon Cognito authentication
Working with Amazon DynamoDB NoSQL databases
Deploying production-ready React applications using Amplify
Designing REST APIs using Express.js
Managing cloud storage with Amazon S3
Implementing secure role-based access control
Developing AI-assisted workflows for public service applications

What's next for JanSevai

Future improvements include:

AI-powered complaint prioritization
Predictive analytics for issue resolution
Multi-language support
Mobile application
Government department integrations
SMS and WhatsApp notifications
GIS heatmaps for identifying complaint hotspots
Smart dashboards powered by machine learning

Our long-term vision is to make JanSevai a scalable SaaS platform that can be adopted by municipalities, educational institutions, residential communities, and organizations to improve grievance management and public service delivery.