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# BirdCam2: A Flask-Based Camera Monitoring System
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# BirdCam: A Flask-Based Camera Monitoring System
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A lightweight, Python-based system for monitoring and managing Raspberry Pi cameras using Flask, SQLAlchemy, and modern Python best practices.
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A lightweight, Python-based system for monitoring and managing Raspberry Pi cameras using Flask, SQLAlchemy, and modern Python best practices.
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## 🚀 Overview
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## 🚀 Overview
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BirdCam2 is a simple yet robust application designed to monitor camera status and log events in real time. Built with Flask and SQLAlchemy, it provides:
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BirdCam is a simple yet robust application designed to monitor camera status and log events in real time. Built with Flask and SQLAlchemy, it provides:
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- Real-time camera status tracking (`running` state).
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- Real-time camera status tracking (`running` state).
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- Event logging for camera actions (`start`, `stop`) with IP addresses and timestamps.
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- Event logging for camera actions (`start`, `stop`) with IP addresses and timestamps.
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- A clean, maintainable architecture using modern Python 3.12 features and type hints.
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- A clean, maintainable architecture using modern Python 3.12 features and type hints.
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@@ -42,8 +42,8 @@ It's ideal for hobbyists, developers, or IoT projects where you need to track ca
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1. Clone the repository:
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1. Clone the repository:
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```bash
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```bash
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git clone https://github.com/your-username/birdcam2.git
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git clone https://gitea.letteka.com/letteka/birdcam.git
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cd birdcam2
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cd birdcam
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```
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```
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2. Install dependencies:
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2. Install dependencies:
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