Bird Tagging System

An AWS-based web application for automated bird species identification and file management.

Features

• User Authentication: AWS Cognito integration with email verification
• File Upload: Support for images, videos, and audio files with drag-and-drop
• AI Bird Detection: Automated bird species identification using pre-trained models
• Search Functionality: Multiple search options (tags, species, URL, file-based)
• Tag Management: Bulk add/remove tags from files
• Notifications: Email alerts for new files with specific bird species

Technology Stack

• Frontend: Python, streamlit
• Backend: AWS Lambda, API Gateway
• Storage: AWS S3
• Database: AWS DynamoDB
• Authentication: AWS Cognito
• Notifications: AWS SNS
• ML Processing: Pre-trained bird identification models

Setup Instructions

Prerequisites

• AWS Account with appropriate permissions
• Basic web development knowledge

1. AWS Infrastructure Setup

1. Create Cognito User Pool

   • Configure user attributes (email, given_name, family_name)
   • Set up email verification
   • Create app client

2. Create Cognito Identity Pool

   • Link to User Pool
   • Configure IAM roles

3. Set up S3 Buckets

   • Main files bucket
   • Thumbnails bucket

4. Deploy Lambda Functions

   • File processing functions
   • Search and query handlers
   • Tag management functions

5. Configure API Gateway

   • Create REST API
   • Set up Cognito authorizers
   • Configure CORS

2. Frontend Configuration

1. Clone this repository:

   git clone https://github.com/DannyLRF/bird_detection.git
   cd bird_detection