Advisor: Dr. Thad Starner

Work:

• Advisor: Dr. Thad Starner

• Designed and implemented the "Angelia" IDE extension to log student keystrokes in Visual Studio Code and PyCharm.

• Conducted data analysis and employed machine learning techniques to predict and assist students in overcoming coding

• challenges, with potential applications in plagiarism detection.

• Developed the ML for "Examinator" system to identify cheating instances in student Multiple-Choice Questions (MCQ) and exam

• submissions, ensuring fairness and authenticity in assessments, reducing search space from 4500+ to approx 250.

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Skills: JavaScript, Java, Clustering, Transformers, supervised and Unsupervised Machine learning

Manager: Ms. Nishita Shashtri

Work:

• Automated the cell biology protocol onto a liquid-handling robotic platform, essentially helping to design, create, test, and integrate components and processes to allow automation of BreakSight’s assay.

• Revamped hardware and software components of the protocol, to optimize operational efficiency.

• Coded for thermal cameras, harnessing thermal imaging data for analysis and managing heating/cooling systems. Used Raspberry Pi to interface with diverse hardware components in Python 3 to automate the process.

• Constructed a 4 part design for thermal cameras, proficiently programmed cameras to regulate heating/cooling systems.

• Devised negative pressure system to extract liquids from cell samples, and successfully assembled and programmed liquid cooling systems for precise temperature control of cell samples.

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Skills: 3D CAD, Python, API, Robotics, Mechatronics

Course: CS 3600 (Introduction to Artificial Intelligence)

Professor: Dr. Thad Starner

Work:

•  Conducted end-of-class 15 minute specialized sessions, providing practical insights into subject matter during class, fostering engagement and understanding. Resolved student inquiries, guided assignments and quizzes, and maintained vigilance over the Ed platform to promptly address and resolve student concerns.

• Safeguarded academic integrity by performing comprehensive plagiarism checks on 900+ submitted assignments, codes, and
  exams.

Advisor: Dr. Ye Zhao; Team Lead: Ted Tyler

• Led a team of 18 people to design and build a sensor-integrated (5 sensors) robotic foot that classifies the terrain that the robot is walking on thereby optimizing the robot’s gait, and improving stability.

• Finite Element Analysis of weak point on foot that fails due to fatigue.

• Trained multiple Machine Learning and neural network models for classification of terrain (99% accuracy).

• Generated CAD models and fabricated the different components, designed a modular terrain bed for testing.

• Spearheaded the production of a new, in-house & more robust tactile sensor.

• Signal processing (FFT, Kalman Filters, etc) for IMU Slipping Detection, and Capacitive and Acoustic Sessor data.

•  Designed a Gelsight Sensor for Pressure Sensor detection based on an MIT sensor.

Skills: Eagle PCB, Deep Learning, Fabrication and Analysis, Signal Processing.

Advisor: Dr. Aaron Young; Team Lead: Jennifer Leestma

• The overarching goal of the project is to develop an intelligent robotic hip exoskeleton to augment biomechanical stability during walking.

• Designing and testing a new 2-degree-of-freedom hip exoskeleton that will be used to study balance augmentation.

Roles: Preparing the exoskeleton hardware and software for real-time use, developing control algorithms and machine learning models for the exoskeleton, analysis of biomechanical data, assist in pilot testing and formal human subjects experiments.

Skills: Eagle PCB, Deep Learning, Robot Operating System (ROS),            SOLIDWORKS

Manager: Mr. Atul Mishra

• Innovated a self-service reporting tool in APG(Aladdin Product Group), team of 4, that reduces 2 weeks of manual work per report.

• Integrated authentication functionality to Balancer Blockchain protocol.

• Resolved 20+ support tickets that required database modifications and software reconfigurations.

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Skills: Python, Java, Angular, Solidity

Mentor: Dr. Dhiraj Mahajan

• Created a Hydrogen-EV hybrid crop-hopping drone with a modular structure for weeding, surveillance, and pesticide spraying.

• Managed a team of 5.

• Designing a modular drone from scratch.

• 3D modeling and MATLAB simulation for the whole modular structure.

• Machine Learning and computer vision for crop disease surveillance and prediction, model created using CNN and Transfer Learning.

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Skills: CAD, Transfer Learning (CNN), MATLAB, Simulink

President: Vishu Chauhan

• Managing a team of students for different projects like Project Meera, Project Naritva, etc.

• Leading the sub-project Shreeraksha, women security device under Project Naritva.

• Technical Mentor for fresher and sophomore students in Enactus Club.

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An online Photo-blog platform modelled from Humans of New York for sharing stories of Thapar University Residents.

As of July, 2021:
- 2400+ followers
- 22,000+ total impressions
- 6000+ reach to audience
- 1000+ interactions per week