- Khawla al-saadih - Researcher
- Al-yaqeen al-saidi - Researcher
- Osama al-shuaibi - Motion Graphic Designer
- Ahmed Abdul Salam - Graphic Designer
- Mohamed al-aamri - Programmer
- Ahmed alsudari - Programmer
Our objective is to leverage artificial intelligence to streamline the process of searching for and accessing information swiftly, all while ensuring the accuracy of information and forecasts.
We aim to create an intelligent system capable of processing vast amounts of data and identifying critical insights, which will be invaluable for various applications.
The space agency often encounters difficulties in swiftly and accurately accessing necessary files during emergency situations in space missions. Our project seeks to address this challenge.
- Enhancing the efficiency of dealing with emergency situations.
- Facilitating faster decision-making.
- Speeding up responses to critical situations.
- Saving both time and resources.
- Improving work efficiency, security, and mission success.
Our project stands out through:
- Innovative algorithmic approaches.
- Novel solutions and recommendations.
- A sustainable and forward-thinking approach.
- Incorporation of machine learning techniques.
The validity of our project is supported by:
- Scientific and logical implementability.
- Realism grounded in NASA data.
- Programming Language: TypeScript
- Styling Tool: Tailwind CSS
- UI Library: Shadcn
- Building Framework: Next.js
- Database: Prisma, MySQL
- API Fetch: Axios
- User Management System: Clerk
- API AI: OpenAI
- Cloud-Based Storage: Cloudinary
- Modeling: Replicate
- AI Memory Database: Vector Database
Provide instructions on how to set up the project locally. Include any dependencies that need to be installed and any configuration files that need to be set up.
# Clone the repository
git clone https://github.com/yourusername/your-project.git
# Change directory
cd your-project
# Install dependencies
npm installThis project was inspired by next13-ai-companion.