Sensei AI | The Best AI Tool You Will Ever Need

The Sensei AI project is an all-in-one AI-powered software platform designed to provide multiple functionalities, including AI-based chat, code generation, image generation, video processing, music generation, and more. This project leverages modern web technologies and TypeScript to deliver a seamless and scalable experience.

Table of Contents

• Features
• Tech Stack
• Folder Structure
• Getting Started
  • Prerequisites
  • Installation
• Usage
• API Endpoints
• Contributing
• License

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Features

• User Authentication: Sign-in and sign-up functionality.
• Dashboard: Centralized UI for managing all AI functionalities:
  • AI Chat
  • Code Generation
  • Image Generation
  • Video Processing
  • Music Generation
  • Settings and customizations
• Landing Page: A beautifully designed marketing page.
• Responsive UI: Built with reusable components and fully responsive layouts.
• Integration with AI Models: Seamless backend APIs for AI functionalities.
• Payment API: Integration with MPesa for handling subscriptions and payments.

Screenshots

Here are some screenshots of the live webapp in action

Landingpage

Dashboard

Upgrade to pro modal

Client support chatbot

Stripe subsription page

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Tech Stack

• Frontend: React (with Next.js)
• Backend: TypeScript, Next.js API routes
• Database: Prisma ORM (likely using PostgreSQL, MySQL, or another database)
• Styling: Tailwind CSS
• Others: ESLint, PostCSS, Crisp Chat integration

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Folder Structure

Here's a high-level overview of the folder structure:

• app/: Main application code for routes and layouts.
  • auth/: Handles user authentication routes (sign-in, sign-up).
  • dashboard/: Contains the dashboard layout and routes for features like chat, code, image, video, and music.
  • landingpage/: Landing page components.
  • api/: Backend API routes for handling AI functionalities and payments.
• components/: Reusable UI components (e.g., buttons, modals, avatars).
• hooks/: Custom React hooks for managing state and modals.
• lib/: Helper utilities, including database configuration and API limiters.
• prisma/: Database schema definition.
• public/: Static assets (e.g., images, icons).
• styles/: Global styles and configurations (via globals.css).
• Root files:
  • next.config.ts: Next.js configuration.
  • tailwind.config.ts: Tailwind CSS configuration.
  • middleware.ts: Middleware for request handling.

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Getting Started

Prerequisites

• Node.js: Ensure Node.js v14 or higher is installed.
• Package Manager: Use npm or yarn.
• Database: Ensure your database (e.g., PostgreSQL) is set up and running.

Installation

1. Clone the repository:

   git clone https://github.com/kc-clintone/Sensei-ai_saas.git
   cd Sensei-ai_saas

2. Install dependencies:

   npm install

3. Configure the environment:

   • Create a .env file in the root directory.
   • Add the required environment variables (e.g., database URL, API keys).

4. Set up the database:

   npx prisma migrate dev

5. Run the development server:

   npm run dev

6. Open the app in your browser:

   http://localhost:3000

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Usage

• Landing Page: View the app's main marketing page.
• Authentication: Sign in or sign up to access the dashboard.
• Dashboard: Interact with AI features like chat, code generation, image creation, and more.
• Settings: Customize your user preferences.

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API Endpoints

Below are some of the available API routes:

• Chat API: POST /api/chat – Send and receive AI-generated responses.
• Code API: POST /api/code – Generate code snippets based on prompts.
• Image API: POST /api/image – Create AI-generated images.
• Music API: POST /api/music – Generate AI-composed music.
• Video API: POST /api/video – Process and edit videos with AI.
• Payment API: POST /api/mpesa – Handle subscriptions and payments.

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Contributing

Contributions are welcome! Follow these steps to contribute:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature-branch

3. Commit your changes:

   git commit -m "Add your message here"

4. Push the branch:

   git push origin feature-branch

5. Submit a pull request.

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License

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