An intelligent, always-available AI companion designed to assist users in productivity, personal development, and everyday tasks. This SaaS platform leverages cutting-edge AI technologies to provide personalized interactions, automation, and insightful recommendations.
- 🧠 Personalized AI Conversations: Adaptive and context-aware interactions based on user preferences.
- 📅 Productivity Assistant: Calendar management, task prioritization, and reminders.
- 🌐 Multi-Platform Support: Accessible via web, mobile, and desktop.
- 🔍 Smart Recommendations: AI-driven insights for decision-making and goal setting.
- 🛠️ Custom Integrations: Seamlessly integrates with third-party apps like Google Calendar, Slack, and Notion.
- 🔒 Privacy-Centric Design: End-to-end encryption and customizable data-sharing settings.
Before you begin, ensure you have the following installed on your local system:
- Bun (Bun latest Vesrion)
- npm or yarn
- Docker (optional, for containerized deployment)
-
Clone the repository:
git clone https://github.com/omkute10/FusionAI.git cd FusionAI -
Install dependencies:
bun install
-
Set up environment variables:
- Create a
.envfile in the root directory and add the following:API_KEY=your-api-key DATABASE_URL=your-database-url - Refer to the
.env.examplefile for a full list of required variables.
- Create a
-
Start the development server:
npm run dev
-
Open your browser and navigate to
http://localhost:3000.
- Frontend: React, Next.js, TailwindCSS
- Backend: Node.js, Express
- Database: PostgreSQL
- AI Models: OpenAI GPT, custom ML models
- Deployment: Docker, AWS
Run the test suite with the following command:
npm testFor end-to-end testing, use:
npm run e2e- Add voice interaction support
- Introduce multi-language capabilities
- Expand third-party integrations
- Launch mobile and desktop apps
We take security seriously. If you discover any vulnerabilities, please report them here.
We welcome contributions! Follow these steps to get started:
- Fork the repository.
- Create a new branch (
feature/amazing-feature). - Commit your changes (
git commit -m "Add amazing feature"). - Push to the branch (
git push origin feature/amazing-feature). - Open a pull request.
This project is licensed under the MIT License.
Special thanks to all contributors and the open-source community for their support!
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