Develop a Visual question answering LLM which takes image and question as inputs and returns an answer as output. Developed a multi-modal transformer model for Medical Visual Question Answering (MVQA) using the PathVQA dataset. Fine-tuned a pre-trained BLIP model on proprietary data to enhance accuracy and context-awareness in medical question answering