Bhopal: The Madhya Pradesh Congress on Friday welcomed the state government's decision to get the 'Bundelkhand package scam' probed by the Economic Offences Wing (EOW) and alleged corruption in the then BJP government had led to irregularities in use of the funds.

A Rs 7,226-crore financial package was announced in 2009 by the Centre to develop the backward districts of the Bundelkhand region, which is spread over Madhya Pradesh and Uttar Pradesh.

"During the UPA government's tenure, the Bundelkhand package was sanctioned because of special interest taken by former party chief Rahul Gandhi," state Congress media department's chairperson Shobha Oza said.

Of Rs 7,226 crore, Madhya Pradesh was supposed to get Rs 3,860 crore, but nothing happened on ground because of "rampant corruption" in the implementation of the scheme, she alleged.

"The then BJP government (in Madhya Pradesh) never wanted to develop the region and the funds were misused to such an extend that the registration number of vehicles meant for transporting stones weighing five tonnes were found to be of two-wheelers," Oza claimed.

Even after the scam was unearthed, the then BJP government headed by chief minister Shivraj Singh Chouhan was not interested in probing it, she said.

"It is our government's commitment to probe all scams that took place in the state during the BJP regime, including Vyapam (admission and recruitment scam), Simhastha Kumbh scam, irregularities in e-tendering, pension and tree plantation schemes," she added.

Meanwhile, the BJP said the government is free to probe any scam, but it should not politicise the issue by leveling baseless allegations.

"They should first find out how the Bundelkhand package was implemented by the (then) Samajwadi Party government in Uttar Pradesh, which was supported by the Congress, and by the BJP in Madhya Pradesh," state BJP spokesman Rajneesh Agrawal said.

The Congress had exposed itself by being unsuccessful everywhere, so they are doing this just to politicise the matter and are not serious about it, he added.

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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:

  1. Upload any image or video frame
  2. AI analyzes visual clues such as structures, terrain, and environment
  3. The system identifies location with coordinates, confidence score, and reasoning
  4. Results are displayed on an interactive satellite map
  5. 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.