Main Task:
Design and build an AI-powered IoT device that monitors plant health and automatically adjusts environmental conditions (like light, water, or temperature) to optimize plant growth.
Core Requirements:
- Use sensors (e.g., soil moisture, temperature, light) to collect real-time data.
- Transmit data to a cloud dashboard (e.g., via Wi-Fi, Bluetooth, or LoRaWAN).
- Implement a simple AI algorithm (e.g., regression or classification) to analyze plant health trends or predict care needs.
- Trigger actuators (e.g., pump, fan, grow light) based on sensor data and AI predictions.
Extra Credit Ideas:
- Voice Assistant Integration: Control your plant guardian via Alexa, Google Assistant, or custom voice commands.
- Image-Based Health Detection: Use a camera and AI (e.g., TensorFlow Lite) to detect early signs of disease or distress via leaf analysis.
- Mobile App or Web Dashboard: Visualize data and receive alerts or recommendations for plant care.
- Energy Efficiency Mode: Add solar charging or optimize the device for low-power operation.
Real-World Applications:
- Home automation for indoor gardening.
- Smart agriculture in urban or remote settings.
- Education: Teach plant biology and AI concepts interactively.
Document & Share:
- Post photos or videos of your setup and plant’s progress over time.
- Share your AI model approach or data insights.
- Invite feedback on your dashboard design or automation logic.