Welcome to the UON-AI-Society-Resources repository! This collection contains various resources and projects used by the committee team of the University of Nottingham AI Society.
- Image Generation Flux
- Computer Vision Learning
- Particle Hackathon
- AI and Data Science Roadmaps
- Social Media Post Plans
This project was developed for the Union Day event. It combines Replicate and OpenAI APIs to generate images based on given prompts.
- Clone the repository
- Install the dependencies
- Set the environment variables
For more details, check the Jupyter notebook:
Note: Any API keys that were used in this project have been revoked for security purposes.
This section includes resources and code for learning computer vision techniques, including hand tracking using MediaPipe.
Key files:
basicHandTrackingMin.py: A basic implementation of hand trackingnotebook.ipynb: Jupyter notebook with computer vision experiments
Resources and code related to the TNMOC X Particle Hackathon, including:
- Data sets for occupancy detection and human activity recognition
- Configuration files for Particle devices
We provide comprehensive roadmaps for learning AI and Data Science, covering topics such as:
- Machine Learning fundamentals
- Deep Learning (CNNs, RNNs)
- Data management and visualization
- Ethical considerations in AI
These roadmaps are designed to guide learners from beginners to advanced practitioners.
Our repository includes structured plans for social media posts, covering various AI and Data Science topics. These plans are organized by semesters and weeks, providing consistent and informative content for our community.
We welcome contributions from all members of the UON AI Society. If you have resources, projects, or improvements to add, please feel free to submit a pull request.
For any queries, please contact the UON AI Society committee [email protected].