I am looking for a developer to build an MVP AI microservice that generates sports articles and game summaries using public sports APIs, with no private or internal API integrations for this phase. The backend should be built using FastAPI to fetch sports data (scores, stats, match details) from public APIs, process it, and pass it to an LLM for content generation. The frontend should be a simple React-based chat interface where users can request summaries, previews, or articles and receive AI-generated responses in a readable format. I also want RAG (Retrieval-Augmented Generation) implemented to ensure the output is accurate, relevant, and grounded in real data rather than generic AI responses. Ideal candidates will have experience with FastAPI, React, LLM integrations, and API-based data pipelines, and should provide a clear plan for MVP delivery within 2–4 weeks. I have already Public API for Phase 1 and diagram for development. Please submit a proposal including your approach and examples of similar AI or chatbot projects you have built.