Empowering innovation through Artificial Intelligence, Research, and Technology at Mbeya University of Science and Technology (MUST).
The AI Hub & Signal Processing Club Platform is the official web platform for the AI Hub & Signal Processing Club at Mbeya University of Science and Technology (MUST).
The platform is designed to provide a modern digital experience for students, researchers, industry partners, and the public by showcasing the club's activities, research, projects, events, learning resources, and community.
Beyond being a website, this project serves as a complete web application featuring a custom administration system, authentication, and an AI-powered assistant capable of answering questions using the club's own knowledge base.
- Modern responsive design
- Home page with club highlights
- About the club
- Technical sub-groups
- Research showcase
- Projects portfolio
- Events
- Blog & News
- Learning resources
- Members directory
- Join Us application
- Contact page
- Secure login
- JWT Authentication
- Role-based authorization
- Protected routes
- Session management
Authorized administrators can manage:
- Blog posts
- Events
- Projects
- Research
- Members
- Resources
- Applications
- Contact messages
- Homepage content
The platform includes an AI-powered assistant capable of:
- Answering club-related questions
- Guiding new members
- Searching club resources
- Recommending projects
- Explaining research activities
- Providing quick access to information using Retrieval-Augmented Generation (RAG)
The application follows a modern full-stack architecture.
React Frontend
│
REST API
│
FastAPI Backend
│
┌───────────────┴───────────────┐
│ │
PostgreSQL Redis Cache
│ │
Alembic Migrations Background Tasks
- React
- Tailwind CSS
- React Router
- Axios
- TanStack Query
- React Hook Form
- Zod
- Framer Motion
- FastAPI
- SQLAlchemy 2.0
- PostgreSQL
- Alembic
- Pydantic
- JWT Authentication
- Redis
- Docker
- Docker Compose
- Git
- GitHub
- Retrieval-Augmented Generation (RAG)
- Vector Search
- Large Language Model Integration
aihub-platform/
├── frontend/
│
├── backend/
│
├── docker/
│
├── docs/
│
├── scripts/
│
├── .github/
│
├── docker-compose.yml
│
├── .env.example
│
└── README.md
The platform aims to:
- Showcase club achievements
- Promote research activities
- Encourage student participation
- Support collaboration with external partners
- Provide a centralized knowledge hub
- Demonstrate modern AI technologies
- Deliver an intuitive experience across desktop and mobile devices
The platform is designed with security in mind.
- JWT Authentication
- Password hashing
- Input validation
- Role-based access control
- Secure API endpoints
- Environment-based configuration
- HTTPS-ready deployment
The application is designed using a mobile-first approach to ensure an excellent experience on:
- Mobile devices
- Tablets
- Laptops
- Desktop computers
Performance considerations include:
- Optimized API responses
- Lazy loading
- Efficient database queries
- Image optimization
- Redis caching
- Dockerized deployment
Contributions are welcome.
Please open an issue before submitting major changes so discussions can take place before implementation.
This project is licensed under the MIT License.
Developed for the AI Hub & Signal Processing Club Mbeya University of Science and Technology (MUST)
Building technology that creates impact through Artificial Intelligence and Signal Processing.