MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641078366 A) filed by Cmr Engineering College, Kandlakoyav, Medchal Road, Hyderabad, Medchal Malkajgiri, Telangana-, India. on June 25, 2026, for Automated Academic Performance Assessment And Career Recommendation System Using Machine Learning.
Inventors include Dr. M. Amru, Professor, Electronics And Communication Engineering, Cmr Engineering College, Kandlakoya; Mrs. G. Mrunalini, Assistant Professor, Computer Science And Engineering Aiml, Cmr Engineering College, Kandlakoya, Hydeabad-; Mr. Md. Abdul Mujeeb, Assistant Professor, Computer; Mrs. Sai Manasa, Assistant Professor, Computer Science; Mr. D. Sivaraja Kumar, Assistant Professor, Computer; Mrs. Namilakonda Sumanjali, Assistant Professor, Computer Science And Engineering Data Science, Cmr Engineering College, Kandlakoya, Hydeabad-; and Mr. A Sai Kiran, Assistant Professor, Computer Science And Engineering Data Science, Cmr Engineering College, Kandlakoya, Hydeabad-.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses an Automated Academic Performance Assessment and Career Recommendation System Using Machine Learning for intelligent educational analytics and career guidance. The system is designed to evaluate student performance, predict academic outcomes, and generate personalized career recommendations based on educational data. Student information including academic records, attendance, examination scores, assignments, skill assessments, and extracurricular activities is collected and processed through data preprocessing techniques such as cleaning, normalization, feature extraction, and integration. Machine learning algorithms including Decision Tree, Random Forest, Support Vector Machine (SVM), XGBoost, and Artificial Neural Networks (ANN) are employed to analyze student performance patterns and predict learning outcomes. Based on the predicted performance and skill profiles, the system recommends suitable higher education opportunities, professional courses, career paths, and skill development programs. The framework provides interactive dashboards and reports for students, teachers, counselors, and educational administrators to facilitate informed decision-making. Furthermore, the system supports cloud-based deployment for scalable implementation across schools, colleges, universities, and online learning platforms. By enabling personalized academic assessment and career guidance, the invention enhances educational quality, improves student success rates, supports effective counseling, and assists learners in selecting appropriate career pathways aligned with their interests and abilities. The proposed system contributes to intelligent education ecosystems and promotes data-driven decision-making in modern educational environments.
Disclaimer: Curated by HT Syndication.
