AI-Computer Vision Analysis
Budget: $250 – $750 SGD
Developer to enhance platform with AI computer-vision product analysis (images + text templates) and ISO-aligned sustainability reporting.
The build includes:
Product Intelligence (images + BOM/templates)
ISO Sustainability formatting and reporting
GenAI editing + gap-filling workflow (chat + approval-based changes)
Tech Stack
Supabase (Auth/Postgres/RLS), Vercel, Cloudflare, GitHub
OpenRouter for multi-LLM routing
LLMs: Gemini, OpenAI, Claude
Multi-modal input + extraction
Ingest product images (JPEG/PNG/WebP) + text templates (provided)
Extract product fields + BOM (components, materials, mass breakdown), cross-validate image vs template data, and provide per-field confidence/source attribution
ISO formatting, analysis and reporting
GenAI editing + gap-filling (guardrailed)
Data quality indicators + uncertainty/gap disclosure (no guessing when inputs are incomplete)
Chat-based editing where AI proposes changes → show diff → user approves/rejects → recalc impacts → update reports
The build includes:
Product Intelligence (images + BOM/templates)
ISO Sustainability formatting and reporting
GenAI editing + gap-filling workflow (chat + approval-based changes)
Tech Stack
Supabase (Auth/Postgres/RLS), Vercel, Cloudflare, GitHub
OpenRouter for multi-LLM routing
LLMs: Gemini, OpenAI, Claude
Multi-modal input + extraction
Ingest product images (JPEG/PNG/WebP) + text templates (provided)
Extract product fields + BOM (components, materials, mass breakdown), cross-validate image vs template data, and provide per-field confidence/source attribution
ISO formatting, analysis and reporting
GenAI editing + gap-filling (guardrailed)
Data quality indicators + uncertainty/gap disclosure (no guessing when inputs are incomplete)
Chat-based editing where AI proposes changes → show diff → user approves/rejects → recalc impacts → update reports