UP govt most corrupt ever, alleges BJP MLA Nand Kishore Gurjar; Akhilesh takes dig
Ghaziabad, Mar 21 (PTI): BJP MLA from Loni, Nand Kishore Gurjar, on Friday alleged in a press conference that Uttar Pradesh has the "most corrupt government ever", and the officers are misleading Chief Minister Yogi Adityanath and looting the exchequer.
Gurjar attended a press conference in a torn kurta alleging that "the police had torn my clothes".
He alleged that the chief secretary had tied the brain of "Maharaj Ji" by applying occult arts on him.
"The chief secretary is the most corrupt officer in the world. The officers have looted land in Ayodhya," said Gurjar.
Samajwadi Party president and former UP chief minister Akhilesh Yadav latched on to Gurjar's statements and attacked the Yogi Adityanath government.
"In the BJP's rule, the BJP members themselves are revealing secrets how injustice and corruption have spread everywhere. Now will they get his reports changed as well?" Yadav said in Hindi on X, sharing a news report about the BJP MLA's claims.
Gurjar told reporters that the women of Loni were carrying out 'Ram Kalash Yatra' on Thursday but police tried to intercept it. This took an ugly turn, the MLA noted.
ACP (Ankur Vihar) Ajay Kumar Singh said the MLA and his supporters were trying to bring out the Yatra without any permission. On the other hand, the MLA claimed an application for permission was given by the SDM of Loni.
Gurjar told the media that Ram Kalash Yatra is traditional and permission was never sought by the organisers before this year.
He attacked his party-led government, alleging that cow slaughtering on a mass scale is going on in UP and that people are being killed in fake encounters.
In a video, he urged the Gurjar Samaj not to jam traffic and to maintain peace everywhere.
भाजपा के राज में भाजपाई ही खोल रहे राज़
— Akhilesh Yadav (@yadavakhilesh) March 21, 2025
कैसे हर तरफ़ फैला है अन्याय और भ्रष्टाचार
अब क्या इनकी रिपोर्ट भी बदलवाएँगे। pic.twitter.com/heJMIFqZaY
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How Indian AI Is Booming with GEOX AI Leading the Next Wave of Geolocation Intelligence
TraceX Labs has announced the launch of GEOX AI, an advanced artificial intelligence platform capable of identifying the real-world location where a photograph or video was taken using only the visual content within the media.
Positioned as an enterprise-grade intelligence solution, GEOX AI leverages advanced computer vision and multi-agent AI to analyze pixel-level details such as architecture, road patterns, vegetation, signage, lighting, and environmental context. By interpreting these visual clues, the system can estimate—and in many cases precisely determine—the origin of an image or video.
AI-Powered Geolocation Intelligence
Marketed under the concept of “Locate Anywhere From Any Image,” GEOX AI is designed for intelligence operations where speed, accuracy, and reliability are critical. The platform currently supports:
- 400+ analyses available
- <10 seconds average response time
- Up to 99% accuracy on landmark-based identification
- Global coverage across diverse terrains and environments
Core Capabilities
GEOX AI integrates multiple intelligence features into a single platform:
- Precise Geolocation:
Identifies exact geographic coordinates using visual landmarks, architecture, vegetation, and cultural indicators. - Satellite Map View:
Results are plotted on live satellite imagery with 2D/3D viewing options and multiple map styles for deeper analysis. - AI Reasoning Analysis:
Provides a detailed explanation of how the system arrived at a conclusion, including confidence scoring. - Multi-Result Analysis:
Returns multiple possible locations ranked by confidence, enabling cross-verification. - Intelligence PDF Export:
Allows one-click generation of professional reports containing maps, coordinates, analysis, and structured findings. - Credit-Based Access:
Agencies are allocated credits, with each analysis consuming one credit. Additional credits can be requested directly.
Speed Meets Intelligence
GEOX AI is designed to balance rapid processing with analytical depth:
- Fast Mode: Delivers results within seconds for clear and high-context images
- Advanced Mode: Performs deeper multi-step analysis for complex or ambiguous visuals
- Built for real-time decision-making in high-pressure environments
How GEOX AI Works
The platform follows a simple and efficient workflow:
- Upload any image or video frame
- AI analyzes visual clues such as structures, terrain, and environment
- The system identifies location with coordinates, confidence score, and reasoning
- Results are displayed on an interactive satellite map
- Export a professional intelligence report in one click
A Breakthrough for Investigations
GEOX AI is expected to have wide-ranging applications across multiple domains:
- Tracking the origin of images from social media and open sources
- Supporting digital forensics and cyber investigations
- Assisting law enforcement and intelligence operations
- Helping journalists and OSINT analysts verify visual content
- Providing support in missing person cases and threat intelligence scenarios
Enterprise Access and Deployment
GEOX AI is available to verified law enforcement agencies, intelligence organizations, and authorized enterprises. Access is provided through a structured system where organizations can request credentials and define their operational use cases.
Interested users can request access via tracexlabs.com or contact contact@tracexlabs.com, with response times typically within 24–48 hours.
Privacy Debate Intensifies
The launch of GEOX AI has also sparked renewed discussion around digital privacy. By demonstrating how location data can be extracted purely from visible elements within images, the platform highlights the potential risks associated with sharing photos online without considering what those visuals may reveal.
Conclusion
With GEOX AI, TraceX Labs is entering the rapidly evolving geolocation intelligence space with a platform that combines speed, precision, and real-world usability. As artificial intelligence continues to advance, tools like GEOX AI are expected to play a critical role in shaping the future of investigations, security, and digital intelligence.
