The Multimodal Cancer Diagnosis System is an advanced Neuro-Symbolic AI application designed to assist in the early detection and management of cancer by fusing data from three distinct sources: medical imaging (X-rays/CT scans), clinical notes (text), and patient vitals (structured data). Unlike traditional black-box AI models, this system combines deep learning (ResNet-18 for images, DistilBERT for text) with a deterministic rule-based engine, ensuring that critical medical rules (e.g., age risk factors, specific keywords) directly influence the final risk score for greater reliability and interpretability. The application features a modern, responsive interface with role-based access for both Patients and Doctors. Patients can upload reports for instant analysis, view a timeline of their medical history, receive personalized actionable recommendations (e.g., "Schedule Biopsy"), and interact with a Context-Aware Chatbot powered by Google Gemini that answers health queries using their specific medical records. Doctors have a dedicated dashboard to monitor patient risk scores and issue digital prescriptions, creating a comprehensive ecosystem for cancer care management. Accuracy : 90%+