Smart Screenshot Manager

A powerful web application for managing and organizing screenshots using AI-powered analysis.

Team Members

Machine Learning Engineer - saketmp2

• Train and fine-tune CNN model for screenshot classification
• Handle data collection and preprocessing
• Integrate ML model with backend API

Backend Developer - shuwanx2

• Set up FastAPI backend and develop API endpoints
• Manage MongoDB Atlas database
• Implement authentication and integrate Google Photos API

Frontend Developer - nealb3

• Design and develop React.js frontend interface
• Implement features (upload, category management, search, export, delete)
• Connect frontend with backend APIs

DevOps & Integration Engineer - yhu74

• Set up and maintain CI/CD pipeline
• Deploy application to Google Cloud Run
• Conduct end-to-end testing and optimize performance

Features

Screenshot Management

• Upload Screenshots

  • Local storage upload
  • Multiple file upload support
  • Category selection during upload

• View Screenshots

  • Browse screenshots by category
  • View classification information
  • Display analysis results

• Edit Categories

  • Modify screenshot categories
  • Add custom categories
  • Delete custom categories

Search and Analysis

• Content-based Search

  • Text search using Google Vision API
  • Label-based search
  • Web entity search

• Export Data

  • Export as ZIP files
  • Organized by categories
  • Selective category export

• Delete Screenshots

  • Individual deletion
  • Confirmation prompts
  • Complete removal from storage and database

• Statistics

  • Category distribution
  • Label frequency analysis
  • Visual data representation

Technical Requirements

• Python 3.7+
• FastAPI
• Google Cloud Vision API
• Required Python packages:

  fastapi
  uvicorn
  python-multipart
  google-cloud-vision
  

Setup

1. Clone the repository:

   git clone [repository-url]
   cd smart-screenshot-manager

2. Install dependencies:

   pip install -r requirements.txt

3. Set up Google Cloud Vision API:

   • Create a Google Cloud project
   • Enable the Vision API
   • Set up service account credentials
   • Update the credentials in the code

4. Run the application backend:

   uvicorn app.main:app --reload

5. Run the application frontend:

   cd screenshot-frontend
   npm run dev

6. Access the application:

   http://127.0.0.1:8000 #backend
   http://127.0.0.1:5173/ #frontend
   

Usage

1. Registration/Login

   • Create an account or login
   • Access the dashboard

2. Upload Screenshots

   • Click "Upload Screenshot"
   • Select files
   • Choose category
   • Submit

3. Manage Screenshots

   • View all screenshots
   • Change categories
   • Delete unwanted screenshots

4. Search and Export

   • Use search for specific content
   • Export screenshots by category
   • View statistics

Security

• User authentication required
• Secure session management
• Protected file storage
• API key security

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit changes
4. Push to the branch
5. Create a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Google Cloud Vision API for image analysis
• FastAPI for the web framework
• All contributors and users