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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

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## 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