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

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

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.

Research • Build • Deploy at the Edge