Developed an advanced computer vision project leveraging diffusion models for image generation, training, and sampling to produce high-quality synthetic images. The system includes a custom image classification module capable of categorizing images based on user-defined labels, enabling flexible and domain-specific use cases. Additionally, implemented an AI-driven image editing feature that allows intuitive modifications through natural language prompts, showcasing the power of prompt-based visual transformation and generative AI techniques.