# sajjadbdai

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Mohammed Sajjad H Bhuiyan](https://cerebralvalley.ai/u/Arshara)
- **GitHub:** https://github.com/sajjadbdai/grp-costing
- **Demo video:** https://youtu.be/Hd94r4guEYI
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1030

Drawing to Estimate turns a customer drawing or a one-line description into a reviewable fiberglass (GRP) cost estimate. You upload the drawing or describe the part; Muse extracts the shape, dimensions and quantity and shows the source of every value; the estimator confirms or corrects them; then deterministic Python calculates the laminate schedule, resin and glass quantities, labour and price — the language model never does arithmetic. Saved estimates keep frozen price snapshots and can be compared side by side, and every result exports to PDF and a live-formula Excel workbook. Built for a real GRP factory in Bahrain, where one quote used to take 30–60 minutes by hand.

## More from Meta Global AI Developer Hackathon

- [KrishiBondhu](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1027)
- [where_R_U?](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1028)
- [MedAxis AI](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1029)
- [SyntaxBuilder](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1031)
- [Someone](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1032)
- [Andre Tsernikov](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1033)

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Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1030. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt
