Accessing government welfare schemes in India is often difficult due to scattered information, language barriers, and complex eligibility criteria. Millions of farmers, students, and low-income citizens remain unaware of schemes they qualify for, leading to poor adoption rates.
YojanaAI proposes an AI-powered agentic system that guides citizens in discovering the right Central and State government schemes. Using IBM’s Granite large language models and the Agent Development Kit (ADK), our solution interacts with users through a simple conversational interface. The agent asks essential questions (e.g., age, occupation, income range, location) and matches the inputs against a curated knowledge base of government schemes. It then provides:
A list of relevant schemes (PM-Kisan, Ayushman Bharat, student scholarships, etc.)
Basic eligibility checks
Required documents and application steps
The solution is designed to support multilingual interaction (English + Hindi initially), making it more accessible to rural and semi-urban users.
This system not only improves awareness but also reduces the time and effort citizens spend navigating government websites. With focused scope, lightweight data integration, and agent-based workflows, the project is both technically feasible and impactful within the hackathon timeline.
By bridging the information gap, YojanaAI can empower individuals to access benefits they deserve, fostering digital inclusion and social equity in India.
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