MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641076056 A) filed by Shaik Hasane Ahammad; and Koneru Lakshmaiah Education Foundation on June 19, 2026, for A Cognitive Factor-Driven System For Predicting Salary Package And Role-Wise Job Suitability Probabilities Of Cse/It Students.
Inventors include Hameeda Khatoon; and Chandra Prakash Vudatha.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The invention relates to a cognitive factor-driven system for predicting salary package and generating role-wise job suitability probabilities for CSE/IT students. The system receives student academic, technical, experiential, and profile-related attributes and converts them into cognitively derived factors. The derived factors include memory, intelligence, technical readiness, learning ability, soft skills, patience and perseverance, and problem-solving ability. These factors are supplied to an artificial neural network that predicts the salary package in LPA. The system further generates role-wise job suitability probabilities for technical roles using cognitive and technical indicators. The final output consists of a predicted salary package and a job-role suitability probability table. The system supports structured student career assessment by combining cognitive factor derivation, ANN-based salary package prediction, and role-wise suitability probability analysis.
Disclaimer: Curated by HT Syndication.
