Full Stack Developer Needed to Build AI-Powered Exam Marking Platform (OpenAI, Next.js)

Title: Build an AI-Powered SQE2 Exam Marking Platform (MVP) About the Project The Solicitors Qualifying Examination (SQE) is the national qualification exam for solicitors in England and Wales. This project focuses on SQE2, which assesses practical legal skills such as legal writing, drafting, advocacy, legal research and client interviewing. The platform will function similarly to Grammarly, Turnitin or an AI essay-marking tool. Students will upload answers to official SQE2 mock assessments and receive AI-generated examiner-style feedback based on the official SRA marking criteria, grading descriptors and sample materials. The goal is to provide aspiring solicitors with instant, high-quality feedback to help them improve their performance before sitting the real exam. Project Overview I am a legal educator, future solicitor and content creator with an audience of 37,000+ aspiring solicitors. I am looking for an experienced full-stack developer to build the MVP of an AI-powered SQE2 assessment platform. The platform will allow SQE students to submit answers to official SQE2 mock assessments and receive examiner-style feedback aligned with the SRA marking framework. The objective is to build a high-quality MVP to validate demand before expanding into a larger educational technology platform. What I Am Looking For I am looking for a developer who has experience building: * AI-powered applications * SaaS products * Educational technology platforms (preferred) * OpenAI integrations * User authentication and admin systems Please include: * Relevant examples of previous work * Live links where possible * Your proposed technical approach * Estimated cost * Estimated timeline MVP Requirements Student Workflow 1. Create an account and log in. 2. Select an SQE2 mock assessment. 3. View the assessment question and any supporting documents. 4. Submit a written answer. 5. Receive AI-generated examiner-style feedback and scoring. AI Marking The platform should use OpenAI (or a similar LLM) to assess submissions against: * Official SRA assessment criteria * Official grading descriptors * Official sample answers * Official examiner feedback The AI should generate: * Criterion-by-criterion scores * Overall score * Strengths * Areas for improvement * Detailed feedback * Suggested next steps Admin Functionality Admin users should be able to: * Upload assessment questions * Upload supporting documents * Upload model answers * Upload examiner feedback * Manage available assessments * Adjust AI prompts if required Preferred Technology Stack Frontend: * Next.js * React Backend: * Supabase AI: * OpenAI API Hosting: * Vercel If you recommend a different stack, please explain your reasoning. Project Details * Fixed-price project preferred * Expected MVP build time: 4–8 weeks * Potential for long-term work if the MVP is successful Important No custom AI model training is required. The solution should utilise existing LLMs (e.g. OpenAI) and focus on delivering accurate, structured examiner-style feedback. Please start your proposal with the phrase "SQE MVP" so I know you have read the full project description.