I’m Jayveer Kochhar, a student researcher exploring robotics and physics to solve real-world problems. I blend analytical thinking, hands-on building, and a passion for learning to create impactful solutions that are both innovative and practical.
This isn’t just a collection of projects — it’s a journey of growth, driven by curiosity and creativity. From robotics experiments to coding innovations, each step reflects my commitment to learning and building solutions that truly make a difference.
Applying structured scientific thinking to break down complex problems and uncover creative solutions.
Engineering intelligent machines and systems to solve real-world challenges.
Building analytical frameworks that turn information into meaningful insights.
Turning ideas into action through discipline, collaboration, and consistent performance.
Stress and anxiety are among the most common challenges affecting people today and they often manifest through changes in breathing patterns. Irregular or shallow breathing can in turn lead to more serious physical and mental health issues. This project focuses on the early detection of stress and anxiety by treating breathing as a key physiological vital sign. After extensive research, we identified chest and abdominal expansion as the most accurate and non invasive method for measuring breathing rate and quality.
In this project, we have implemented a reliable underwater communication system with the help of Arduino, flex sensors and IR sensors. The objective of the scuba communication system is to make underwater communication simpler and more practicable at greater distances than are visible underwater. Divers frequently face the dilemma of learning signals and wasting time in dives to communicate.
Modeling and predicting ocean currents at spatial scales below 50 km is essential for understanding key ocean processes such as biogeochemical fluxes and nutrient transport. The Surface Water and Ocean Topography mission addresses long standing observational limitations by providing high resolution sea surface height measurements through radar interferometry. However, instrumental noise and its amplification during differentiation pose significant challenges for deriving reliable geostrophic velocities and vorticity fields.
Modeling and predicting ocean currents at spatial scales below 50 km is essential for understanding key ocean processes such as biogeochemical fluxes and nutrient transport. The Surface Water and Ocean Topography mission addresses long standing observational limitations by providing high resolution sea surface height measurements through radar interferometry. However, instrumental noise and its amplification during differentiation pose significant challenges for deriving reliable geostrophic velocities and vorticity fields.
Accurately converting camera coordinate translations of a 3D motion tracking marker into a reliable displacement vector is essential for applications in biomechanics, robotics, and virtual reality. However, existing motion tracking approaches often suffer from significant inaccuracies caused by calibration errors, marker occlusions, and sensor noise, which reduce the reliability of motion analysis and downstream applications.
This project evaluates current state of the art methods for 3D displacement estimation and systematically identifies their key limitations.
Accurate classification of variable stars is fundamental to measuring astronomical distances, understanding stellar evolution, and refining models of galactic structure. This work presents a hybrid deep learning framework that improves variable star classification by combining image based light curve analysis with astrophysical features derived from Fourier decomposition and skewness analysis. The proposed approach addresses key challenges such as class imbalance, phase misalignment, and difficulty in distinguishing closely related subtypes.
Modeling and predicting ocean currents at spatial scales below 50 km is essential for understanding key ocean processes such as biogeochemical fluxes and nutrient transport. The Surface Water and Ocean Topography mission addresses long standing observational limitations by providing high resolution sea surface height measurements through radar interferometry. However, instrumental noise and its amplification during differentiation pose significant challenges for deriving reliable geostrophic velocities and vorticity fields.
Innovation that earned national recognition and global acknowledgment.
Whether you have a question about my projects, want to collaborate, or just want to say hello, I’d love to hear from you.