Smart Birdfeeder

AI-powered birdfeeder with species recognition and analytics

Built with:

Raspberry Pi Python TensorFlow React Node.js

AI-Powered Bird Identification

A DIY smart birdfeeder that uses computer vision to identify bird species and track feeding patterns in real-time.

Features

Real-time bird species identification using TensorFlow
Automatic photo capture when birds approach
Feeding pattern analytics and daily reports
Weather integration for behavior correlation
Mobile app for remote monitoring

Hardware

Built with Raspberry Pi 4B (4GB), Pi Camera Module v2, weatherproof enclosure with proper ventilation, and solar panel for power backup.

Software Stack

Python for backend processing, TensorFlow Lite for edge AI, React dashboard for analytics visualization, and Node.js API server.

Challenges Overcome

Weatherproofing electronics, managing power consumption for 24/7 operation, optimizing ML models for edge devices, and handling varying lighting conditions.