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A comprehensive Inventory and Amazon Trend Analysis System crafted for social media influencers on Amazon and other platforms. Features a Django backend, React frontend, React Native cross-platform mobile app, and interfaces with Amazon's Product Advertising API.

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Streamer's Stash System

Streamer's Stash is a robust platform built for social media influencers, predominantly on the Amazon platform, to manage their product inventory, analyze Amazon trends, and swiftly pinpoint products on sale or trending. With a cross-platform mobile application, it ensures access to your inventory anywhere, anytime.

Features:

  • Inventory Management: Seamlessly add, update, delete, and list your product inventory.

  • Amazon Trend Analysis: Dive deep into Amazon's product trends. Know what's trending and what's on sale!

  • Cross-Platform Mobile Application: Built with React Native to ensure a uniform device experience.

  • Integration with Multiple Social Platforms: Future updates will include integrations with platforms like Facebook, Twitch.tv, Twitter, and more!

Getting Started:

  1. Clone this repository:

    git clone https://github.com/AwaywithCharles/StreamersStash/
  2. Navigate to the project directory and install the required dependencies. Instructions can be found in INSTALL.md.

  3. Follow the setup guide for database configurations and API integrations.

  4. Launch the server and access the platform on your local machine.

Contribution:

Contributions are always welcome! Please ensure you follow the contribution guidelines outlined in CONTRIBUTING.md.

License:

This project is licensed under a non-commercial open-source license. Please refer to LICENSE.md for detailed terms and conditions.

Support:

For queries, bug reports, or feature requests, please raise an issue in the GitHub repository or contact the maintainers directly.

Thank you for using Streamer's Stash, your ultimate inventory and trend analysis companion!

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A comprehensive Inventory and Amazon Trend Analysis System crafted for social media influencers on Amazon and other platforms. Features a Django backend, React frontend, React Native cross-platform mobile app, and interfaces with Amazon's Product Advertising API.

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