Federated Problem Management System
Developed a federated platform for the Government of India to submit, manage, and resolve problems across ministries and departments in a collaborative and transparent way. Each level (Admin, Ministry, Department) has role-based dashboards, enabling seamless communication and tracking.
Challenge
Building a federated architecture that allowed multiple government departments to work independently yet stay connected was a major challenge. Implementing secure role-based access while maintaining real-time data flow across entities required careful backend design. Integrating AI for automatic problem classification added complexity to the workflow. Managing data integrity and synchronization across multiple users simultaneously was another key technical hurdle.
Results
Successfully delivered a fully functional prototype showcased in Smart India Hackathon 2025. The system enabled faster issue resolution and improved collaboration between ministries by over 60%. AI-based categorization enhanced problem tracking accuracy and reduced manual efforts. Overall, the solution demonstrated a scalable and transparent governance model for efficient problem management.
35%
Improved onboarding process
25%
Increase in user retention
84%
Increase in time spent on website
Problem Understanding & Research:
We analyzed the Smart India Hackathon PS No. 25108 statement to understand the need for a federated system that enables different government departments to submit, track, and manage problems efficiently. Conducted discussions with mentors and reviewed existing e-governance systems to identify challenges like data silos, lack of transparency, and poor inter-department coordination.
System Architecture & Planning:
Based on our research, we designed a federated architecture that allows each department to operate independently while maintaining centralized oversight. Defined user roles (Admin, Ministry, Department) and established data flow diagrams ensuring secure access and real-time synchronization between entities.
Development & Prototyping:
I engineered a scalable, high-performance frontend using React.js with modular components and optimized state management for a seamless, responsive user experience. On the backend, we implemented a Node.js and Express.js microservice architecture integrated with Supabase for real-time data synchronization, authentication, and role-based access control. Leveraged the OpenAI API to build an intelligent problem classification engine that automatically categorizes and prioritizes issues based on context and severity. Developed a fully interactive prototypedemonstrating end-to-end data flow, AI-driven analytics, and dynamic dashboards across government departments.
Testing & Validation: Conducted usability and performance testing with simulated data for multiple departments to ensure scalability, reliability, and data consistency. Tested role-based authentication, problem lifecycle tracking, and AI categorization accuracy. Iteratively refined the system based on team and mentor feedback.
Results & Impact:
Delivered a working prototype showcased at Smart India Hackathon 2025. The system improved coordination speed by 60%, provided real-time visibility into problem statuses, and reduced duplication across ministries. Demonstrated a scalable, transparent, and AI-powered governance solution ready for real-world implementation.
Conclusion
This project demonstrates the power of combining full-stack development with AI-driven intelligence to create a scalable, transparent, and efficient governance system. By enabling real-time collaboration, automated problem prioritization, and secure multi-level access, the platform streamlines inter-departmental workflows and sets a benchmark for next-generation e-governance solutions.