🍍 AIMING - AIoT Infravision for Monitoring, Inspection & Grading in Agriculture

An Edge AIoT system using Intel Embedded Computer BOXNUC & OpenVINO for:

• ✅ Recognize fruit type, count quantity, detect ripeness, and identify external defects. ( AI Computer Vision)
• ✅ Measure °Brix (glucose level), moisture content, detect internal bruises, and identify pest or fungal infections. ( AI NIR Spectral Analysis)

📂 Project Structure

• web_flask/ — Flask server + UI
• ai_models/ — AI model folders (Tensorflow, OpenVINO, etc)
• static/, templates/ — Web UI
• Dockerfile, docker-compose.yml — Container setup
• .github/workflows/ci.yml — CI/CD build automation

🚀 Run Locally

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
cd web_flask
python app.py