This chapter presents the design, development and assessment of AI and ML tutoring system for 9th grade biology students. The tutoring system integrates AI tools to offer interactive learning experiences. The tutoring system provides diverse content like educational games, videos, concept maps and mind maps, diagrams, a discussion forum and an assessment portion for making teaching and learning interesting. A need analysis was conducted involving 36 science teachers and 166 science students to identify the key features required in the design of the tutoring system. After identifying the key features, including 24/7 accessibility, user-friendliness, and AI integration, the developers incorporated these elements into the tutoring system’s design. The tutoring system’s structure revolves around the content of biology chapters which follow the universal guidelines for multiple means of engagement, representation and action. In this tutoring system, HTML, CSS, JavaScript, Python and API integration are used for real-time feedback support. The effectiveness and appropriateness of the tutoring system were validated through the responses of feedback from related subject teachers and learners, with positive responses focusing on its accessibility, interactivity and ability to improve learning outcomes. This system goals to reduce the academic burden and increase joyful engagement with content, providing valuable support to teachers and students while nurturing a deeper understanding of complex concepts of science.