MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202521133904 A) filed by Sandip Institute Of Technology And Research Centre; Sandip Institute Of Engineering And Management; Sandip Polytechnic; Sandip Institute Of Pharmaceutical Sciences; Sandip University Nashik; and Sandip University Sijjoul on December 31, 2025, for An Ai-Based Personality Prediction And Virtual Fashion Personalization System.
Inventors include Patil, Rupali Rahul; Bage, Dipak D.; Rumale, Aniruddha S.; Bendale, Archana V.; Patil, Parag B.; Mogare, Savita B.; Kapadnis, Vaibhavi; and Devhare, Chaitanya.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention relates to an AI-based personality prediction and virtual fashion personalization system. This AI-driven system that integrates personality prediction with virtual fashion personalization. Using the OCEAN model, the system analyzes user-provided data gathered through structured questionnaires or behavioral inputs to identify the five major personality traits: openness, conscientiousness, extraversion, agreeableness, and neuroticism. A machine learning module, incorporating algorithms such as K-Means clustering, processes the collected data to classify users into distinct personality profiles. These predicted traits are then utilized to generate individualized virtual fashion recommendations, enabling digitally tailored styling experiences that align with each user’s psychological characteristics. The system establishes an automated workflow that includes data acquisition, personality analysis, classification, and personalized output generation. This invention supports applications in virtual fashion platforms, online shopping, digital marketing, and user-centric design by enhancing personalization accuracy.
Disclaimer: Curated by HT Syndication.
