• Dr Anuradha M.Sandhi
• Samreen Fatima

Breast-cancer, a prevalent condition affecting millions globally, particularly women over 40, often remains undiagnosed-or poorly managed in underserved-regions like Karnataka, India, due-to limited medical-resources. BreastCancerAI, a web-based-platform, addresses this challenge-by leveraging deep-learning, generative-AI, and modern web-technologies to enhance breast-cancer detection-and management. The platform offers an interactive, multilingual-interface supporting English, Kannada, Urdu, and Hindi, ensuring accessibility-for diverse populations. Key-features include AI-driven mammogram-image analysis, disease-severity prediction, a generative-AI chatbot for real-time user-queries, and a patient-progress monitoring dashboard. Built-using HTML,CSS, JavaScript, and Flask, BreastCancerAI is device-compatible and incorporates visual-elements and gamification to engage elderly-patients. This thesis explores the platform’s design, implementation, and evaluation, highlighting its technical-innovations and social-impact. By providing a scalable, inclusive-solution, BreastCancerAI aims-to transform breast-cancer care in low-resource settings, contributing-to equitable healthcare-access and improved patient-outcomes

Breast-Cancer, BreastCancerAI, deep-learning, generative-AI, web-based-platform, healthcare-technology, medical-imaging, mammogram-image analysis

"Gen-AI Powered Breast-Cancer Detection Using Deep-Learning and Computer-Vision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 9, page no.e562-e569, September-2025, Available :http://www.jetir.org/papers/JETIR2509462.pdf

"Gen-AI Powered Breast-Cancer Detection Using Deep-Learning and Computer-Vision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 9, page no. ppe562-e569, September-2025, Available at : http://www.jetir.org/papers/JETIR2509462.pdf