Full-Stack AI Developer for Document Intelligence Web App

Project Brief – AI Assistant for Solar & Electrical Installers (MVP) Overview I’m looking to build an MVP (Minimum Viable Product) of a web-based AI assistant designed specifically for electrical contractors, renewable energy installers, and solar companies. The goal is to create an application where users can upload technical documentation (PDFs) and ask natural language questions to quickly find accurate answers with references to the original documents. This is an MVP, so I want to keep the first version as simple as possible while ensuring it is scalable for future development. ⸻ Core Features 1. Secure User Accounts * User registration and login * Password reset * Individual workspaces so users only access their own uploaded files ⸻ 2. PDF Upload System Users should be able to upload: * Installation manuals * Commissioning guides * Technical specifications * Wiring diagrams (PDF) * Datasheets Requirements: * Drag-and-drop upload * Multiple file uploads * Organised document library * Ability to delete documents ⸻ 3. AI Question & Answer Chat Users can ask questions such as: * “How do I parallel seven single-phase inverters?” * “What is the required torque setting for this terminal?” * “Which communication ports should be used?” * “What cable size is recommended?” The AI should answer using only the uploaded documents and should include references to the relevant pages where the information was found. ⸻ 4. Source Citations Every response should include: * Document name * Page number * Relevant excerpt where possible I do not want the AI inventing answers. ⸻ 5. Search Users should be able to: * Search documents * View previous questions * Reopen previous conversations ⸻ 6. Dashboard Simple dashboard showing: * Number of uploaded documents * Storage used * Recent conversations ⸻ 7. Admin Panel Basic admin functionality: * Manage users * View usage statistics * Suspend accounts if required ⸻ Technology I’m open to recommendations. Potential stack: * React or Next.js frontend * Python (FastAPI) or Node.js backend * Supabase or PostgreSQL database * OpenAI or Anthropic API * Vector database for document retrieval (RAG) ⸻ Future Features (Not Required for MVP) Please design the architecture so these can be added later: * Image uploads * Fault code recognition * Photo analysis * Electrical drawing analysis * Automatic quotation generation * O&M manual generation * Commissioning report generation * Voice assistant * Mobile app * Team accounts * Subscription billing (Stripe) * API integrations ⸻ Deliverables Please provide: * Estimated timeline * Total project cost * Recommended technology stack * Ongoing monthly hosting estimate * Suggested improvements * Portfolio of similar AI/RAG projects (if available) I am looking for a clean, modern, responsive web application with a focus on speed, reliability, and scalability rather than lots of features.