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title: README
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# PeachBot AI
### Edge AI for Biology, Healthcare, Agriculture and Environmental Intelligence
PeachBot AI develops practical edge-native AI systems and research prototypes designed to run close to where data is generated.
Our work focuses on:
- 🧬 Computational Biology
- 🏥 Healthcare AI
- 🌱 Smart Agriculture
- 🌍 Environmental Intelligence
- ⚡ Edge AI and constrained hardware
- 🧠 Local and offline machine learning
- 🔬 Student-led STEM research and experimentation
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## Current Project
### 🌱 AgriVision AI
**Raspberry Pi + Google Coral Edge TPU Smart Agriculture Project**
AgriVision AI combines:
- plant-health computer vision
- Raspberry Pi Camera
- Coral Edge TPU inference
- soil-moisture sensing
- BME280 environmental monitoring
- automated irrigation
- local Flask dashboard
- TensorFlow Lite INT8 inference
**Primary Developer:**
### Isis Saritha Swapin
Student Researcher (Precision Agriculture)
Class VIII Syndesmos Public School,
Parumala, Thiruvalla, Pathanamthitta.
Kerala- 689626.
**Contributor:**
Swapin Vidya
GitHub:
https://github.com/swapins/agrivision-ai-pi
PeachBot Author Profile:
https://peachbot.in/people/4
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## Model Releases
Our first model release will be:
**AgriVision MobileNetV2 Edge TPU**
A lightweight plant-health classification model optimized for:
`Raspberry Pi 4 + Google Coral USB Accelerator`
Planned model pipeline:
PlantVillage → MobileNetV2 → INT8 TensorFlow Lite → Edge TPU compilation
---
## PeachBot
Website: https://peachbot.in
PeachBot explores AI systems that combine software, sensors, edge computing and biological applications.
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### Research • Build • Deploy at the Edge
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