UP Police's AI App YAKSH Prevents False Molestation Case, Nabs Criminal Duo
AI App YAKSH Stops False Molestation Case, Arrests Criminals

AI-Powered Policing Thwarts False Accusation and Robbery Attempt in Hathras

In a remarkable demonstration of technology-aided law enforcement, the Uttar Pradesh Police's artificial intelligence-enabled YAKSH application played a crucial role in preventing a sexagenarian man from being falsely accused of molestation while simultaneously uncovering the criminal backgrounds of two women involved in an attempted robbery. The incident occurred in Hathras, where swift police action combined with advanced digital tools led to a successful intervention.

Sequence of Events: From Bank Withdrawal to Criminal Interception

On March 13, the elderly victim had withdrawn a substantial sum of ₹3 lakh from a local bank. As he departed the financial institution, two women began following him discreetly. They intercepted the man at a secluded location and allegedly attempted to cut open his bag to steal the money. When the victim raised an alarm to alert nearby individuals, the women quickly switched tactics and attempted to frame him by publicly accusing him of harassment and molestation.

A police team, accompanied by UP-112 emergency response personnel, arrived at the scene promptly. Beat constable Ajay Yadav immediately deployed the YAKSH application to trace and access CCTV cameras along the route the victim had traveled. Reviewing the surveillance footage revealed clear evidence showing the women systematically trailing and targeting the elderly man, completely contradicting their harassment allegations.

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Facial Recognition Technology Identifies Repeat Offenders

The YAKSH app's sophisticated facial-recognition feature proved instrumental in identifying the two women as Karina and Jyoti, both residents of Rajgarh in Madhya Pradesh. The digital platform revealed that both individuals had extensive criminal histories spanning multiple districts across different states. This immediate access to comprehensive offender databases allowed police to understand they were dealing with experienced criminals rather than random individuals.

Following their identification and arrest, the women were formally booked under BNS Section 309-4, which pertains to attempted robbery. According to Senior Superintendent of Police Chiranjeev Nath Sinha, the criminal duo specifically targeted individuals traveling alone and had established patterns of involvement in theft, robbery, and snatching incidents. Police records indicate at least 15 registered cases against them in Agra, Mathura, Varanasi, and Etah districts.

YAKSH App: Transforming Modern Policing in Uttar Pradesh

Launched in December 2025, YAKSH represents a significant technological advancement in law enforcement capabilities. This AI-driven platform was specifically designed to strengthen policing effectiveness, enhance crime detection rates, and maintain a comprehensive digital database of offenders across the state. Developed under the guidance of Director General of Police Rajeev Krishna, the application provides field units with real-time crime analysis and suspect tracking capabilities that dramatically reduce investigation timelines.

This recent success in Hathras follows another notable achievement where the YAKSH application enabled UP Police to solve a robbery case in Jaunpur within hours by rapidly identifying and arresting three suspects. The platform's ability to integrate multiple data sources, analyze patterns, and provide actionable intelligence represents a paradigm shift in how law enforcement approaches criminal investigations in the digital age.

Broader Implications for Crime Prevention and Justice

The Hathras incident highlights several critical developments in modern policing. First, it demonstrates how technology can prevent miscarriages of justice by providing objective evidence that contradicts false accusations. Second, it shows how digital tools can rapidly connect seemingly isolated incidents to broader criminal patterns and networks. Third, it illustrates the importance of real-time information sharing between different law enforcement units and jurisdictions.

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As criminal methodologies evolve with technological advancements, police departments worldwide are increasingly turning to artificial intelligence and data analytics to maintain their effectiveness. The YAKSH application represents Uttar Pradesh's commitment to this technological transformation, providing officers with tools that enhance both preventive and investigative capabilities while creating significant deterrent effects against organized criminal activities.