Breast cancer remains one of the most prevalent and life-threatening diseases globally, emphasizing the critical need for accessible, reliable, and comprehensive information for patients, caregivers, and the general public. This research presents development of an AI-powered question-answering chatbot designed to provide accurate, interactive, and user-friendly information on various aspects of breast cancer, including symptoms, diagnosis, treatment options, and risk factors. The chatbot integrates state-of-the-art Natural Language Processing (NLP) techniques, utilizing Transformer-based models such as DistilBERT for question-answering and Sentence Transformers for context-aware information retrieval, ensuring precise and contextually relevant responses. A structured knowledge base was meticulously curated from verified medical sources, ensuring the credibility and reliability of the information provided. To enhance the chatbot’s performance, a context-aware retrieval system was implemented, designed to mitigate response repetition, maintain coherence across interactions, and deliver diverse yet consistent answers based on the user’s queries. Furthermore, the chatbot was developed with a modern and intuitive user interface (UI) using Streamlit, incorporating interactive elements such as follow-up question suggestions, a structured conversation flow, and a welcoming introduction page to improve user engagement and accessibility. The research involved iterative enhancements to address key challenges such as response redundancy, relevance optimization, and UI accessibility, ensuring an informative and seamless user experience. The chatbot serves as a valuable educational and informational tool that enables users to obtain quick, structured, and reliable insights into breast cancer-related concerns. This study contributes to the ongoing efforts in healthcare AI, demonstrating how NLP-driven chatbots can play a pivotal role in bridging the gap between medical knowledge and public awareness, ultimately empowering individuals with timely and reliable health information.