Hello, I am
Bhavya Kansal

AI & Robotics

Developer and Researcher

Engineering student at TIET. Creating and Researching Advance future technologies . On a mission to become India's greatest tech innovator through researching and developing advance future technologies.

Bhavya Kansal

About Me

I am an aspiring innovator currently pursuing my B.Tech at Thapar Institute of Engineering and Technology. My passion lies at the intersection of hardware and software—specifically in Mechatronics, Deep Learning, and Generative AI.

From developing Aagni (Advance agumented generative nano intelligent an AI assistant) to building real-time sensor integration systems, I am dedicated to pushing the boundaries of what technology can achieve in India.

AI
Development
IoT
Robotics
ML
Deep Learning
Web
Integration

Education

B.Tech in Engineering

Artificial Intelligence & Robotics

Thapar Institute of Engineering and Technology

Specializing in Advanced AI, Machine Learning, and Robotics integration. working on real-time hardware-software synergy.

Diploma in Engineering

Technical Foundation

Completed

Thapar Polytechnic College

Laid the groundwork in engineering principles, electronics, and practical technical skills in Patiala.

Innovations

TELEGRAM CHATBOT

An advanced AI-powered assistant capable of handling complex queries with a unique personality.

NLP Python
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Emotion Detector

Deep learning model utilizing CNNs to detect and classify human emotions in real-time from video feeds.

OpenCV TensorFlow
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Neurolock AI

Security system integrating neural networks for advanced authentication and anomaly detection.

Security AI
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Certificate Verifier

Robust verification system utilizing Blockchain, OCR, and multiple parameters to ensure document authenticity.

Blockchain OCR
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Research Interests

My research primarily focuses on the synergy between digital intelligence and physical actuation. I am investigating how Generative AI can optimize robotic control systems for unpredictable environments.

  • Autonomous Navigation Systems
  • Computer Vision for Industrial Robotics
  • Natural Language Interfaces for IoT

Technical Stack

Machine Learning &Deep Learning 99%
Robotics & Embedded Systems 75%
Web Tech & UI/UX 60%
C++ / High Performance Computing 55%

Get In Touch

Whether you have a question about my research, want to collaborate on a project, or just want to say hi, my inbox is always open.