• Designing a medical AI assistant that addresses key gaps in existing research
• Developing and fine-tuning the SmolLM3-3B model using a subset of the ChatDoctor Dataset
• Performing a comprehensive evaluation and comparison with a pre-trained medical domain model for evaluating the quantitative and qualitative metrics of our architecture
• Overcoming language barriers in healthcare support through the use of a Bengali-English translation pipeline.
• Despite using only a fraction of the parameters and being fine-tuned only on a subset of the ChatDoctor dataset, fine-tuned SmolLM3-3B is competitive with the larger MedAlpaca-7b model.
