AI Image Describer Vision-Language Model for Detailed Image Understanding Contextual Description

AI Image Describer is an AI-powered computer vision application that analyzes uploaded images and generates detailed, human-like descriptions covering objects, people, actions, and surrounding context.
My Role: Designed and developed the AI pipeline, integrated the vision-language model, implemented image processing and inference logic, and built and deployed the interactive application.
Technologies Used: Python, Hugging Face Transformers, Vision-Language Models (VLMs), BLIPMoondream2, Gradio, PIL, PyTorch, and Hugging Face Spaces.
Notable Achievements Built and deployed a functional end-to-end AI application that automatically understands images without requiring user prompts, generates detailed contextual descriptions, and provides an accessible web-based interface for real-time interaction.