Intellectual Property India Publishes Patent Application for Machine Learning Based Smart Maintenance Scheduler And Risk Predictor For Electronic Appliances

MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202621092289 A) filed by Symbiosis International Deemed University on July 29, 2026, for Machine Learning Based Smart Maintenance Scheduler And Risk Predictor For Electronic Appliances.

Inventors include Prof. Rohit Pawar; Palak Anupam Gupta; Ritul Sharad Varma; and Tanvi Patil.

The application for the patent was published on September 18, 2026, under issue no. 38/2026.

Abstract: ABSTRACT MACHINE LEARNING BASED SMART MAINTENANCE SCHEDULER AND RISK PREDICTOR FOR ELECTRONIC APPLIANCES The present invention discloses a machine learning based smart maintenance scheduler and risk predictor system (100) for electronic appliances. The system (100) comprises a user interface module (110), a backend processing server (120), a database module (130), a machine learning module (140) employing a Decision Tree classifier, a maintenance schedule generation module (150), and a reminder and notification module (160). The machine learning module (140) receives appliance parameters including age, usage level, and warranty status, and classifies the maintenance risk level into Low, Medium, or High categories. The maintenance schedule generation module (150) dynamically computes the next service date based on the predicted risk level, and the reminder and notification module (160) generates automated alerts for upcoming maintenance tasks. The system (100) provides a centralized, cost-effective, and user-friendly platform for proactive maintenance management of household and personal electronic appliances. [

Disclaimer: Curated by HT Syndication.