IoT Smart Plant
An IoT and AI-powered plant monitoring system for real-time soil, climate, and plant health tracking with automated irrigation and intelligent alerts.
- ESP32
- ESP32-CAM
- Soil Sensor
- pH Sensor
- LCD
- Water Pump
- YOLOv5
- Flask
- Python
- Streamlit
IoT & Machine Learning
I build practical systems where connected devices and intelligent software meet.
Developed the web-based Master Production Schedule (MPS) system, implemented AI forecasting models, and built monitoring dashboards for materials and machinery.
Completed a 4-stage program in Python, ESP32, cloud APIs, and full-stack IoT, building a real-time monitoring system with 100% uptime. Delivered Smart Plant, an end-to-end IoT+AI solution integrating YOLOv5, chatbot, dashboard, and Telegram bot.
Completed an intensive AI & IoT bootcamp focused on ESP32, reaching semifinal level while developing hands-on skills in integrating AI algorithms with IoT devices and delivering applied, innovative solutions through team-based projects.
Assisted the Team Leader and Manager in validating incoming and outgoing trouble tickets, performed ODP/ODC and customer data validation, supported monthly recap and reporting processes, and ensured data accuracy with timely updates in the internal system.
Informatics Engineering
Focused on artificial intelligence and web applications.
Computer and Network Engineering
Specialized in computer networking, telecommunications, and programming.
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