Lockshot Application

Lockshot is a comprehensive application designed for shooting sports enthusiasts. It provides features for tracking training progress, engaging with a community of like-minded individuals, and leveraging AI-driven insights to improve your skills.

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Features

Web and Mobile Platforms

The application is available as a web app and a mobile app (for Android) built using:

• Web Frontend: React.js
• Mobile Frontend: React Native

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Core Functionality

1. Shooting Training Tracker

   • Log your shooting hits.
   • Analyze and track hit statistics.

2. Community Interaction

   • Chat with other athletes via a real-time chat system powered by SignalR.
   • Discuss strategies, techniques, and share experiences.

3. Educational Resources

   • Access videos to learn about shooting sports techniques.
   • Stay updated with the latest news in the shooting sports world.

4. AI Assistant

   • Get personalized training tips and advice powered by an AI assistant.

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Backend Architecture

The backend is implemented using .NET Core with the following components:

• Messaging System: SignalR for real-time communication.
• Data Storage: PostgreSQL as the database.
• Web API: RESTful services for all features.
• AI Integration: Leverages modern AI frameworks to power the assistant.
• Redis: For caching.

Backend Microservices

The application employs a microservices architecture, including:

• Lockshot.User.API
• Lockshot.Channels.API
• Lockshot.Client.Web.API
• Lockshot.Bot.API

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Technologies

Frontend

• React.js and React Native (with Redux and React Router).

Backend

• .NET Core
• Entity Framework Core
• SignalR for real-time features.
• Redis for caching.
• PostgreSQL for data storage.
• Docker for containerized deployments.

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Setup and Deployment

1. Clone the repository:

   git clone https://github.com/KovganAV/Lockshot.User.API
   cd lockshot
   

2. Set up the backend:

   • Navigate to the backend service directories and build them using dotnet build.
   • Run the services with docker-compose for seamless deployment.

3. Set up the frontend:

   • Navigate to the frontend and mobile directories.
   • Install dependencies:

     npm install
     

   • Start the development server:

     npm start
     

4. Configure environment variables for APIs, database connections, and AI integrations.

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Future Enhancements

• Add more AI-driven insights.
• Expand community features with group forums.
• Optimize the mobile app for cross-platform support (iOS).

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License

This project is licensed under the MIT License.

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Contributions

Contributions are welcome! Please open a pull request or report issues for discussion.

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Enjoy using Lockshot and take your shooting skills to the next level! 🎯