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https://www.nano-lab.com.tr
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https://www.nano-lab.com.tr
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https://www.nano-lab.com.tr
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https://www.nano-lab.com.tr
NanoLab Smart Analyzer
Inspiration:
Testing product safety and regulatory compliance is often slow, expensive, and requires expert knowledge. We wanted to create a tool that pre-assesses risks for food, cosmetics, and consumer products using AI, making the process faster and more reliable.
What we built:
NanoLab Smart Analyzer lets users input product ingredients, then uses AI models to predict toxicity, genotoxicity, environmental impact, and compliance scores. The platform generates visual reports and actionable recommendations. It can also integrate with laboratories’ reporting systems.
Challenges:
- Mapping diverse product ingredients to standardized lab tests
- Ensuring AI predictions align with ISO/IEC 17025 accreditation standards
- Creating an intuitive interface for non-expert users
What we learned:
- How to apply machine learning to real-world regulatory and safety datasets
- Best practices for integrating AI with existing lab workflows
- Importance of clear data visualization for actionable insights
Impact:
Our platform helps manufacturers and labs save time, reduce costs, and improve product safety, bridging the gap between development and testing.
Built With
- ai/ml:-tensorflow
- backend:-python-flask
- cloud-/-deployment:-vercel
- database:-postgresql
- docker
- internal
- lab
- nanolab
- next.js
- node.js
- postgresql
- python
- react
- scikit-learn
- scikit-learn-database:-postgresql-cloud-/-deployment:-vercel
- tensorflow
- vercel
