AI Pose Cam — Full Source Code with Amit Sikdar

Build and launch your own AI camera director app in minutes.

This is the complete, production-ready codebase for AI Pose Cam — a mobile-first web app that analyzes surroundings in real time using multimodal AI, generates contextual male posing reference cards, and guides the user directly on screen.

WHAT IS INCLUDED IN THE CODEBASE:

• Complete Frontend Stack: Built with React 18, Vite, TypeScript, and Tailwind CSS.

• Native Camera Engine: Real-time device orientation tracking, full-canvas scaling, and native resolution photo capture.

• Multimodal Scene Analyzer: Pre-configured Gemini 3.5 Flash prompt pipeline that identifies furniture, props, and room geometry to write tailored pose prompts.

• Dual Diffusion Engine:

• High Quality Tier: Hugging Face Serverless FLUX.1 Schnell integration for realistic reference cards.
• Free Fallback Tier: Keyless image engine integration for zero-cost generations without needing API tokens. • Interactive UI Elements:
• Floating reference card HUD with expandable guidance breakdown.
• Audio and haptic vibration feedback on camera lock and capture.
• Photo spec stamp overlay showing camera details and resolution.
• Clean setup drawer for entering Gemini and Hugging Face keys.
• Vercel Deployment: Pre-configured vercel.json file ready for instant one-click cloud deployment.

QUICK START INSTRUCTIONS:

1. Extract the downloaded project zip file.
2. Run npm install in your terminal.
3. Run npm run dev to start locally, or run vercel to deploy online.
4. Add your free Gemini API key in the settings drawer and start snapping photos.

DELIVERABLES:

• Clean production source code repository (.zip format).

• Comprehensive setup documentation (README.md).

• Ready for personal builds, portfolio showcases, or commercial deployment.