IoT + AI powered meat freshness detection. ESP32 gateway with gas, pH, temperature & humidity sensors + Random Forest + CNN analysis. Prevent food waste, ensure safety, and build customer trust.
From sensor to insight in three simple steps — combining IoT hardware with advanced AI for reliable freshness intelligence.
Place meat sample near ESP32 gateway. Sensors automatically collect gas concentration, pH, temperature, humidity, and optional image data.
Random Forest classifier + CNN image model process sensor data. Cross-reference with freshness thresholds and historical patterns.
Instant freshness score (0-100), quality status, sensor breakdown, and actionable recommendations. Export as PDF or integrate via API.
Real-time hardware sensor readings combined with user observations for comprehensive freshness assessment.
Professional-grade freshness report with AI confidence scores, sensor breakdown, and export-ready formatting.
Access the complete ML pipeline: data preprocessing, Random Forest training, CNN image analysis, and model evaluation.
⬇ Download .ipynb FileIn the print dialog, select "Save as PDF" to export a professional report.
Connect MeatScan AI to your existing workflows — from inventory management to customer-facing apps.
Auto-flag nearing-expiry items. Integrate with ERP systems for dynamic pricing and stock rotation.
Train models on your specific meat types, storage conditions, and regional spoilage patterns.
RESTful API for real-time freshness checks. Webhooks trigger alerts when thresholds are breached.
Embed freshness scores in e-commerce product pages. Build trust with transparent quality data.
"MeatScan AI bridges the gap between food safety science and practical business decisions. No lab required — just plug, scan, and know."
— MeatScan AI Design Philosophy
Start your free 14-day trial today — no hardware commitment required. Test with our simulator or connect your ESP32 gateway.
✨ Start Free Trial at proximaed.com →