Build MVP Web App – AI-Assisted Project Planning & Readiness System Job Description We are looking for an experienced developer or small team to build an MVP web application for a construction / project planning control system. This is not a generic task manager or scheduling tool. The system works on a weekly control cycle and uses PDF programme uploads to generate a 6-week lookahead, classify activities (Red / Amber / Green), manage readiness actions, and output weekly plans. A full developer pack is already prepared (architecture, data model, API outline, Jira backlog, business rules). We are looking for delivery, not product design. Scope (MVP) Web app (frontend + backend) User roles & permissions Weekly PDF upload and versioning Activity extraction from PDF (basic parsing + manual correction) 6-week lookahead logic RAG (Red / Amber / Green) classification Action / constraint management Role-based dashboards Weekly exports (PDF / CSV) Audit logging Important constraints The system must NOT directly edit project schedules Input is via weekly PDF uploads only Logic is time-based, not priority-based This is a control system, not a scheduler Tech Stack (Open to suggestion) Frontend: React (preferred) Backend: Python (FastAPI) or Node (NestJS) Database: PostgreSQL File storage: cloud object storage Deployment: Docker-based What to Include in Your Proposal Please include: Recommended tech stack Estimated timeline (weeks) Estimated cost Team size / role breakdown Relevant experience (especially workflow, document-based, or planning systems) Nice to Have Experience with PDF parsing Experience with construction, engineering, or operations software Strong understanding of role-based systems and auditability