Abstract
Technological advancements have significantly transformed industries such as healthcare and education, offering more accessible services and innovative solutions for complex medical challenges. One such challenge is pancreatic tumor detection and management, which remains difficult due to late diagnosis and limited medical resources in underserved regions. This thesis presents PancreaticTumorAI, a web-based platform designed to improve awareness, screening, and care for pancreatic tumors. The system integrates deep learning models, generative AI, and modern web technologies to deliver an interactive space for tumor detection, patient guidance, and awareness.The platform includes key features such as AI-driven CT scan analysis, predictive analytics for tumor presence, a generative AI chatbot for real-time assistance, and a patient monitoring dashboard. It is developed using HTML, CSS, JavaScript, and Flask for cross-device compatibility and supports multilingual interfaces (English, Kannada, Urdu, Hindi) to ensure inclusivity. Additionally, the platform employs visual aids and gamification strategies to enhance engagement, particularly among elderly users. By combining technical innovation with social impact, PancreaticTumorAI provides a scalable and locally adaptable framework to address gaps in healthcare accessibility. The thesis discusses the design, implementation, and evaluation of the system, highlighting its potential to advance early tumor detection, support patients and caregivers, and contribute to equitable healthcare delivery in resource-constrained settings.