It’s a sunny afternoon, and 60-year-old Mr. Sharma (let’s call him that for anonymity) is feeling a sense of relief after withdrawing a significant sum, ₹3 lakh, from his bank in Hathras. This money, perhaps for a long-awaited expense or a family need, is tucked securely in his bag. As he walks along, the bustling sounds of the town slowly fade into a quieter, more secluded stretch. However, his peace is short-lived. Two women, seemingly ordinary at first glance, have been following him. Their steps, initially discreet, suddenly become more deliberate. They intercept him, corners him in this isolated spot, and in a terrifying instant, Mr. Sharma feels a tug, a frantic attempt to cut open his bag and snatch his hard-earned money. Shocked and frightened, he instinctively raises an alarm, his voice echoing in the sudden silence. But these women are cunning; as he cries for help, they don’t flee. Instead, they pivot, their voices rising in a shrill accusation, turning the tables on him, loudly claiming he was harassing them. Imagine the horror and confusion: here you are, a senior citizen, just trying to protect your savings, and suddenly you’re being branded as a perpetrator. The psychological impact of such a false accusation, especially in public, can be devastating.
Thankfully, amidst this distressing scene, help arrives swiftly. A police team, accompanied by UP-112 personnel, materializes almost instantly – a testament to the effectiveness of emergency response. Among them is Beat Constable Ajay Yadav, a man armed not just with his uniform and training, but with a cutting-edge technological advantage: the UP Police’s AI-enabled YAKSH app. Instead of relying on traditional, time-consuming methods, Ajay immediately turns to his device. With a few taps, he uses YAKSH to trace CCTV cameras along Mr. Sharma’s route. The app quickly pulls up the footage, and there it is, undeniable and damning evidence: the two women, clearly visible, actively trailing and then targeting Mr. Sharma. The visuals paint a stark picture, completely contradicting their false claims of harassment. This is where YAKSH truly shines; its facial-recognition feature kicks in, an intelligent eye scanning the faces caught on camera. Within moments, the app identifies the women as Karina and Jyoti, revealing their origins in Rajgarh, Madhya Pradesh. But it’s not just their names it uncovers; it’s their past. The app instantly highlights that both women have extensive criminal histories, a web of offenses spanning across multiple districts. This isn’t just a random act; these are seasoned criminals.
With the evidence literally at their fingertips, the gravity of the situation becomes clear. Karina and Jyoti are promptly arrested and charged under BNS Section 309-4 for their attempted robbery. Further investigation, led by SSP Chiranjeev Nath Sinha, paints an even more disturbing picture of their modus operandi. This wasn’t an isolated incident. The duo specifically targeted individuals traveling alone, preying on their vulnerability. Their criminal enterprise wasn’t limited to just one type of offense; they were involved in theft, robbery, and snatching – a systematic pattern of crime. The YAKSH app’s comprehensive database revealed that these two women had at least 15 cases registered against them across various districts, including Agra, Mathura, Varanasi, and Etah. This level of interconnected criminal activity, often difficult to track through traditional, fragmented systems, was instantly laid bare by YAKSH. Mr. Sharma, who could have faced irreparable damage to his reputation and a significant financial loss, was spared largely due to the swift and precise intervention enabled by this technology.
The Hathras incident isn’t an isolated success story for YAKSH. The app recently demonstrated its prowess in Jaunpur, where a robbery case was quickly cracked. Within mere hours of the crime, YAKSH allowed the UP Police to identify and arrest three suspects, bringing swift justice to another set of victims. These examples highlight a significant shift in policing, moving from reactive measures to proactive and data-driven law enforcement. This innovative tool represents more than just an application on a phone; it embodies a new era for maintaining law and order, designed to empower police officers and strengthen their ability to protect citizens.
YAKSH, officially launched in December 2025, is a sophisticated AI-driven platform. Its core purpose is to bolster policing efforts, significantly improve crime detection rates, and maintain a meticulously organized, comprehensive digital database of offenders. The brainchild of DGP Rajeev Krishna, YAKSH was developed with a clear vision: to arm field units with cutting-edge technology that offers real-time crime analysis and suspect tracking capabilities. Imagine an officer on patrol, able to instantly cross-reference a suspicious individual’s face with a vast database of known criminals, or to identify patterns in local crime trends to better allocate resources. This is what YAKSH brings to the table – a powerful, always-on assistant that helps officers make informed decisions quickly, leading to faster arrests, more efficient investigations, and ultimately, a safer community for everyone.
In essence, YAKSH isn’t just about technology; it’s about amplifying human effort and instinct with intelligent tools. It provides officers like Ajay Yadav with the means to act decisively and accurately, protecting innocent citizens from false accusations and bringing criminals to justice with unprecedented speed. For Mr. Sharma, it meant the difference between potential ruin and rapid vindication. For countless others, YAKSH is quietly working behind the scenes, transforming the landscape of policing and offering a powerful shield against crime, making the streets of Uttar Pradesh a little safer, one smart arrest at a time.