About this project
Every year, millions of citizens—especially students, low-income families, and rural applicants—miss out on vital government scholarships, welfare schemes, and financial aid simply because the system is too complicated. Between navigating dense eligibility rulebooks, figuring out which documents are actually required, and dealing with confusing government portals, the application process is an obstacle course. Furthermore, people are rightfully hesitant to upload sensitive financial documents and personal IDs to unverified third-party assistance tools. We are building GuardianAI, an intelligent, privacy-preserving digital caseworker powered by the Model Context Protocol (MCP). Think of it as a personalized advisor that guides applicants from initial eligibility verification all the way to portal submission, without ever compromising their data security. Instead of forcing users to fill out endless forms, GuardianAI uses conversational intake to build a "minimized profile." Our built-in Policy Engine ensures that only non-sensitive data (like age, state, or general student status) is used to query eligibility rules, while highly sensitive details (like Aadhaar, PAN, or bank account numbers) are tokenized and masked. Once a user is verified for a scheme, GuardianAI generates a custom document checklist, validates their uploaded certificates, and automatically queues the application for submission on government portals. Why this matters: Financial inclusion isn't just about opening bank accounts; it’s about ensuring that government capital and educational subsidies actually reach the people they were designed to help. By combining conversational AI with strict privacy guardrails and automated workflow planning, GuardianAI removes the bureaucracy, language barriers, and data-privacy fears that keep citizens from claiming their rightful financial benefits.
Open Innovation track
Solve any real-world problem with AI, regardless of industry or domain.