Rural governance in India continues to face systemic inefficiencies rooted in paper- intensive workflows, geographic barriers, and the absence of real-time service visibility. This paper presents DigiGram, a full-stack digital governance platform purpose-built for Kasbe Digraj Gram Panchayat, Sangli district, Maharashtra, serving a population exceeding 15,000+ citizens. The platform consolidates complaint registration, certificate processing, property and water tax management, government scheme discovery, meeting management, and a public-facing AI chatbot into a single web-based system. A distinguishing technical contribution is a multi-classifier ensemble machine learning microservice—combining Logistic Regression, Random Forest, Gradient Boosting, and Support Vector Machine with TF-IDF (3,000 features, n-grams 1–3) and soft voting—that automatically assigns High, Medium, or Low priority labels to citizen complaints with an achieved accuracy of 78–85%. The system is architected on React.js (frontend), Spring Boot Java 17 (backend REST APIs), Firebase Firestore (real-time NoSQL), Cloudinary and Supabase (media and PDF storage), and a Python Flask inference microservice. Security is enforced through Firebase OTP-based citizen authentication and email-password admin authentication, with role-aware middleware on every API endpoint. Deployment results demonstrate measurable improvements in service throughput, complaint resolution time, and administrative transparency, establishing DigiGram as a replicable model for Panchayat-level digital transformation.
Keywords
Digital governance, gram panchayat, machine learning, complaint prioritization, e-governance, rural India, ensemble learning, Firebase, Spring Boot, natural language processing, real-time systems.
Conclusion
DigiGram demonstrates that a full-stack digital governance platform can be practically designed, implemented, and deployed for a rural Indian Gram Panchayat with measurable improvements in service accessibility and administrative efficiency. The ensemble ML complaint prioritisation module provides an objective, scalable mechanism for urgency triage that complements rather than replaces administrator judgment. The public AI chatbot— accessible without login—lowers the information asymmetry that has historically disadvantaged rural citizens in navigating government services.
The platform’s modular microservice architecture, real-time Firestore synchronisation, QR-embedded certificate verification, and role-stratified security model collectively constitute a replicable reference architecture for Panchayat digitisation at scale across Maharashtra and beyond.
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How to Cite This Paper
Prof. Chougule S.S., Hulyalkar H.S., Nayak D.R., Mulik P.Y., Khade S.Y. (2026). DigiGram: An AI-Powered Real-Time Digital Governance Platform for Rural Panchayats in India. International Journal of Computer Techniques, 13(2). ISSN: 2394-2231.
