AI-Based Global Chemical Safety App need Mobile App Development
Contact person: AI-Based Global Chemical Safety App
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Location: Notodden, Norway
Budget: Recommended by industry experts
Time to start: As soon as possible
Project description:
"Cross-Platform Mobile App Developer (AI-Powered Chemical Safety Registry)
Project Overview
We are building a global chemical safety app (digital “stoffkartotek”) that allows users to:
Scan barcodes or product labels with their phone camera.
Use AI (OpenAI API or similar) to automatically identify the product, retrieve the correct safety data, and generate a clear summary in the user’s chosen language.
Store products in a digital safety registry that can be exported to Excel, PDF, or Word.
Share entries easily via common apps (WhatsApp, Gmail, Teams, Slack, etc.).
Key Features (MVP)
Barcode + Image recognition → identify product.
AI-powered data extraction + summary (safety, PPE, storage, disposal, first aid).
Multilingual support → automatic translation.
Offline cache → last 20–50 scanned products available without internet.
Export → Excel/PDF/Word.
Share → one-click send via “share” functions.
Manual entry option → user can add missing products manually.
Hooks → lightweight, documented integration points for future connection with Ægir DiveOS, HiveSync, and Guardian modules.
API integration with official chemical safety databases.
Organizational features (projects/locations).
Web-based admin dashboard.
Technical Requirements
Cross-platform app: Android + iOS (React Native, Flutter, or similar).
AI integration: OpenAI API (or comparable).
Cloud backend: Firebase, Supabase, or similar.
Hooks in code → modular, so we can connect future systems easily.
Clean code + documentation.
Deliverables
Working MVP app (Android + iOS).
Source code + documentation.
Professional, simple UI/UX.
Ready for submission to Google Play + App Store.
Payment via milestones (design → prototype → MVP ready → app store submission).
What we provide
Clear workflow + vision.
Example products + safety data for training.
Long-term collaboration: future modules + deeper system integration." (client-provided description)
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