Intellectual Property India Publishes Patent Application for Ai-Driven Explainable Women'S Personal Safety Prediction, Risk-Aware Navigation, Community Intelligence And Evidence-Based Incident Reporting Framework.

MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641094690 A) filed by Mrs. Muthu Pandeeswari R; Mrs. Rajyashree H; Ms. Sahana Babu; Ms. Sanjutha S; and Ms. Salai B Dharshini on August 05, 2026, for Ai-Driven Explainable Women'S Personal Safety Prediction, Risk-Aware Navigation, Community Intelligence And Evidence-Based Incident Reporting Framework..

Inventors include Mrs. Muthu Pandeeswari R; Mrs. Rajyashree H; Ms. Sahana Babu; Ms. Sanjutha S; and Ms. Salai B Dharshini.

The application for the patent was published on August 14, 2026, under issue no. 33/2026.

Abstract: The present invention relates to an Artificial Intelligence (AI)-driven proactive personal safety system and method for predicting contextual safety risks, providing preventive safety recommendations, and facilitating resilient emergency communication. The invention integrates a contextual risk prediction engine, Explainable Artificial Intelligence (XAI), intelligent route optimization, community-based safety intelligence, secure harassment reporting, decentralized mesh communication, and cloud-based backend infrastructure into a unified personal safety platform. The Artificial Intelligence prediction engine analyzes multiple contextual parameters including geographical location, temporal information, environmental conditions, crowd density, crime history, police proximity, surveillance availability, and historical incident data to estimate potential safety risks before the occurrence of unsafe events. An Explainable Artificial Intelligence module utilizing SHapley Additive exPlanations (SHAP) generates interpretable explanations for each prediction, thereby improving transparency and user trust. A risk-aware route optimization module recommends safer navigation paths by considering predicted safety scores in addition to travel distance and estimated travel time. The invention further incorporates a Community Intelligence module for collecting and validating user-generated safety observations, dynamically updating safety heatmaps, and improving prediction accuracy through adaptive learning. A Secure Harassment Reporting module enables authenticated or anonymous reporting of incidents together with encrypted multimedia evidence including text, images, audio, video, timestamps, and geographical coordinates. A Decentralized Mesh Communication module establishes peer- to-peer emergency communication among nearby devices without requiring continuous Internet connectivity or cellular network infrastructure, thereby ensuring reliable emergency messaging during disasters, remote-area operation, or network outages. A cloud-native backend infrastructure provides secure authentication, data storage, Artificial Intelligence inference, geospatial services, application programming interfaces, and synchronization of offline information upon restoration of network connectivity. The invention provides a scalable, privacy-preserving, explainable, and infrastructure-resilient technological framework that transforms conventional reactive safety applications into a proactive predictive personal safety ecosystem suitable for deployment across educational institutions, corporate organizations, public safety agencies, smart cities, healthcare systems, transportation networks, and other environments requiring enhanced personal safety and emergency preparedness.

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