{"title": "Local AI Prototyping Pool", "description": "\n### Purpose of the Pool\nTo fund rapid, open-source AI prototypes that solve hyperlocal challenges in India using transparent, replicable, and low-cost tooling. The goal is to support builders and community innovators via micro-funding for creating AI prototypes that empower real-world problem-solving, from agriculture and education to civic tech and healthcare.\n\n### Key Criteria for Funding:\n\n- Preference to experiments using OSS tooling (e.g., Ollama, LangChain, Pinecone, Hugging Face, etc.)\n- The code must be published with a permissive license (MIT, Apache-2.0, etc.)\n- Should be deployable via lightweight frontends (e.g., Streamlit, Vercel, Gradio)\n- The use case must be relevant to a local community or system\n- Preference for low-compute, low-dependency models (encourage edge-ready AI)\n\n### Example Use Cases\n- Chatbot for navigating government schemes in local languages\n- Local seed or soil advisory for farmers using RAG from Krishi Vigyan Kendra docs\n- Civic engagement bot summarizing municipal budgets or RTI replies\n- Offline-ready AI assistant for microentrepreneurs (inventory, pricing, finance)\n- WhatsApp-integrated career guidance bot for rural youth using open data\n\n### Proposal Template Requirements\nEach proposal should include:\n- Title + Summary\n- Local Problem: What challenge are you solving and for whom?\n- Tech Stack: Which OSS tools/models are being used?\n- Link to GitHub: (can be WIP, must be public)\n- Demo / UI Plan: Streamlit, Vercel, etc.\n\n\n"}