BIT Polytechnic Hosts Successful Two-Day BUILDX Workshop on Building RC Cars
February 7, 2025 – The Department of Computer Science at BIT Polytechnic recently organized a two-day hands-on workshop titled BUILDX WORKSHOP - Exploring The Art of Building RC Cars on February 5th and 6th, 2025. The event aimed to introduce participants to the world of prototyping by guiding them through the process of building a remote-controlled (RC) car from scratch using Arduino kits. Over 60 students from various departments participated in the workshop, which was a resounding success.
Inauguration and Welcome
The workshop began with a warm welcome from Prof. Prithviraj M, Director of BIT Polytechnic, who emphasized the importance of hands-on learning in technical education. The resource persons for the event, Mr. Abdul Kader Afran and Mr. Muhammed Haashid, were introduced by Rafia, a first-year Computer Science and Engineering (CSE) student. The inauguration also featured an invocation by Rachana, a second-year CSE student, and her team, setting a positive tone for the event. Haashim, another second-year CSE student, skillfully hosted the ceremony as the Master of Ceremony.
Dr. B. Aziz Musthafa Principal of BIES, highlighted the growing impact of robotics in various fields, urging students to embrace the opportunities presented by such workshops. Ms. Khateeja Samrin, faculty member of the Department of Diploma in Computer Science and Engineering, encouraged students to leverage the knowledge gained during the workshop to enhance their skills and stay ahead in the competitive tech landscape.
Day 1: Kit Assembly and Learning the Basics
The first day of the workshop focused on introducing students to the fundamentals of building an RC car. The resource persons provided an overview of the project’s objectives and the components of the BuildX material kit. Key activities included:
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Kit Distribution and Component Familiarization: Students received their BuildX kits and were guided through identifying and understanding each component, such as motors, wheels, chassis, battery packs, and control modules.
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Programming and Logic Building: A session on writing programs and building logic was conducted, followed by a quick quiz to test the students' understanding. The quiz sparked enthusiasm as participants competed to top the leaderboard.
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Electrical Connections and Remote Control Integration: The mentors demonstrated how to wire motor controllers and connect them to the battery pack and receiver module. Students replicated these steps, learning essential wiring techniques and safety precautions.
Day 2: Testing, Debugging, and Final Race
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The second day was dedicated to testing, debugging, and showcasing the completed RC cars. Key activities included:
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Testing and Debugging: Students tested their RC cars, diagnosing and resolving issues related to wiring, stability, and control range. The resource persons provided personalized support to ensure each car functioned correctly.
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Demonstration and Feedback Session Participants showcased their completed RC cars, sharing their experiences and challenges during the build process. This session allowed students to reflect on their learning and celebrate their achievements.
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Final RC Car Race:The highlight of the workshop was a thrilling RC car race among the ten participating teams. The winners were rewarded for their outstanding performance.
The workshop concluded with a vote of thanks delivered by Sahil Riyaz a first-year CSE student.
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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.
