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Description: We are building an MVP for an AI-powered sponsorship agent SaaS designed to manage sponsor profiles, enrich data automatically, track deals, and generate proposals. Project Overview: Sponsor profile database with CSV/API import and manual entry AI-driven enrichment from public sources using NLP and scraping APIs Duplicate detection and data cleaning User dashboard for filtering sponsors, deals, and statuses Automated proposal and outreach email generation Basic user authentication and role management Preferred Tech Stack: Frontend: React or Next.js Backend: Node.js (Express) or Python (Flask/Django) Database: PostgreSQL, MongoDB, or Firebase AI/NLP Integration: OpenAI API, Hugging Face, or Google Cloud NLP Deployment: AWS, Heroku, or similar cloud platform Deliverables: Functional MVP with above features Clean, modular, and documented code Deployment and user/admin documentation 30 days post-launch bug fix support Skills Needed: Full stack JS or Python development experience AI/NLP API integration for data enrichment Experience building dashboards, import/export features Strong communication skills in English Timeline: 4-6 weeks for MVP delivery How to Apply: Share relevant SaaS or AI app projects you’ve completed Provide estimated hours with hourly rate or fixed project quote Briefly outline your approach to AI data enrichment and deduplication Explain in detail how you would implement the data enrichment module, including: Tools or libraries you'd use for web scraping Your envisioned architecture for the scraping and enrichment pipeline How you'd ensure data quality, deduplication, and automation of updates Any past experience in building similar data pipelines