GTV Reviewer is an AI-powered platform that helps applicants prepare a winning UK Global Talent Visa application. Users upload their personal statement, CV, reference letters, and evidence, and purpose-built AI agents review them against Tech Nation's official criteria — returning precise insights, expert-style feedback, and actionable recommendations in minutes.
Alongside the core review, the platform offers a Pro tier and one-off prevention services such as a GTV eligibility scan, a reference letter risk review, and a mandatory-criteria deep dive, so applicants can catch problems before they submit.
Key Features:
📄 Smart Document Analysis: Upload a personal statement and evidence for AI analysis against Tech Nation's criteria
🗂️ Evidence Classification: Achievements are automatically categorised by innovation, impact, and recognition to surface gaps
👥 Multiple Reviewer Perspectives: Feedback from different reviewer personas — technical experts, business leaders, and academics
📊 Detailed Reports: Overall score, evidence quality grade, radar-style gap analysis, and downloadable recommendations
⚡ Real-Time Progress: Live status updates while a review runs, powered by WebSockets
💳 Plans & Services: Free and Pro tiers, one-off prevention services, and discounted bundles
My Role
Frontend Engineer
Built the web application for an AI-driven visa application review service.
🎨 Implemented the marketing site, review workflow, and report views with Next.js, Tailwind CSS, and shadcn/ui
⚡ Integrated WebSockets so applicants see review progress and results update in real time
📤 Built the document upload and review submission flows with clear validation and status feedback
💳 Implemented the pricing, prevention services, and bundle pages
