• Healthcare Assistant Dashboard A platform designed to help clinicians, nurses, and patients with medical image analysis, clinical data retrieval, and general healthcare support. The system leverages advanced local-hosted multimodal language models and retrieval-augmented generation (RAG) to provide accurate, context-aware answers and reports.

• AI Integration in Healthcare Registration
  The schema about Automating patient check-in with AI to streamline data entry, validate patient information, and optimize scheduling—boosting both efficiency and patient experience. The system uses machine learning and NLP, backed by explainability, reliability, and privacy-first design. Framework includes a clear data-flow diagram emphasizing secure data handling, compliance, and transparency.

• tesnsorphilia projects A collection of collaborative, beginner-friendly educational projects designed to teach core data science and machine learning concepts. Covers methods like EDA, PCA, and classical ML, applied to real-world problems such as heart disease, diabetes, NAFLD detection, and diamond price prediction. Open-source on GitHub to encourage learning, collaboration, and hands-on practice.

• Metastatic Cancer Detection Built a deep learning model in PyTorch to detect metastatic cancer in pathology image patches using the PCAM dataset. Leveraged pre-trained CNNs, transfer learning, and data augmentation to achieve accurate medical image classification with limited data.