MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641046093 A) filed by S N Roshini; R Anushika; T Dharshini; P Hari Shankar; and V Kabilan on April 10, 2026, for Ai Powered Tutor For Programming Concepts.
Inventors include S N Roshini; R Anushika; T Dharshini; P Hari Shankar; and V Kabilan.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The Al Tutor for Programming Concepts is a web-based application developed to support beginners in learning programming in an interactive and efficient manner. The system provides clear explanations for fundamental programming concepts such as variables, loops, functions, and basic problem-solving techniques using an Al- based response generation mechanism. The application is built using HTML5, CSS3, and JavaScript for the frontend, and Python with the Flask framework for backend processing. It includes essential features such as user registration and login, Al-based query handling, and a built-in Python code execution module. The system processes user inputs, generates relevant responses using a prompt-based Al model, and displays the results through a user- friendly interface. Additionally, the application enables users to write and execute Python code within a secure environment, helping them to practice and verify their understanding in real time. The system also stores user interactions using a SQLite database, allowing basic session management and data persistence. The platform is designed to be simple, accessible, and responsive, making it suitable for students using both desktop and mobile devices. By combining theoretical explanations with practical coding experience, the project enhances self-learning and reduces dependency on traditional teaching methods. Overall, the system provides an effective solution for beginners to improve their programming knowledge and problem-solving skills. Furthermore, the system demonstrates how artificial intelligence can be effectively integrated into educational applications to improve learning outcomes. It provides a foundation for future enhancements such as support for multiple programming languages, improved Al response accuracy, and advanced user tracking features. The project is cost- effective, easy to deploy, and suitable for real-time learning environments. It can be extended for use in academic institutions and online learning platforms. Overall, the system represents a practical and scalable solution for modern digital education, helping learners build confidence and improve their programming skills independently.
Disclaimer: Curated by HT Syndication.
