Abhishek Gandhi

I am an MTech student specializing in AI and ML, with a focus on projects that leverage datasets for innovative solutions. I have experience working on various projects, including: CanveneAI RAG LLM Application: Built a Retrieval-Augmented Generation (RAG) system using OpenAI's GPT model to handle diverse data types (video, audio, PDF, websites) for accurate reference generation through LangChain. Zeale Content Recommendation System: Developed a recommendation engine using cosine similarity for content-to-content matching and implemented APIs with FastAPI. UX-Grader: Designed a system that analyzes website screenshots or URLs to provide UI/UX feedback using models like YOLO and Vision-LLMs (e.g., CogVLM). In my current work, I am also implementing a Vision Transformer (ViT) for an image captioning task using the MSCOCO 2014 dataset. I am particularly interested in utilizing Hugging Face datasets to further enhance the performance of these models.