Projects

Innovating and Productizing Smart AI Hardware: Founding EMOT

Introduction

Commenced with the ideation of an AI-based bot designed to understand and interpret human emotions, aiming to aid in mental health diagnosis and management.
Leveraged cutting-edge AI technology developed using Inference Engine to create a bot capable of generating reports for healthcare professionals, focusing on accuracy and empathy in emotion recognition.

Pitching and Government Collaboration

Successfully pitched the project to the State Government via Tamil Nadu State Innovation (TNSI) programme, highlighting its potential impact on mental health care.
Obtained funding and support from the Tamil Nadu government, recognizing the project's innovative approach and societal benefits.

Academic Contribution and Recognition:

Authored and published a detailed research paper in the International Journal of Engineering Research & Technology (IJERT), contributing to academic discourse in AI applications for mental health.
The paper received acclaim for its pioneering approach and practical implications in the field of mental health.

Reference:

Human Emotion Recognition System using Deep Learning Techniques

Implementation with Lean On Foundation

Partnered with the Lean On Foundation, an NGO focused on mental health, to implement the AI bot.
Demonstrated the practical application and effectiveness of the bot in a real-world setting, aiding in mental health diagnosis and support.

Building CI/CD pipeline using AWS infrastructure

Introduction

Worked as an AWS Developer at a service-based start-up, Yakshna Technologies, with a focus on CI/CD pipeline construction.
To automate project workflows and enhance overall development efficiency.

CI/CD Pipeline Development

Designed and built CI/CD pipelines using AWS services, ensuring they were robust and scalable.
Automated key stages of the deployment process to minimize manual efforts and errors.

Integration and Delivery

Ensured smooth integration of CI/CD pipelines with existing development workflows.
Facilitated efficient and consistent delivery of updates and new features.

Impact and Results

Notably increased project workflow efficiency through automation.
Significantly reduced manual work, leading to faster release cycles.
Achieved consistent, error-free deployments, enhancing product reliability.

Key Contributions and Skills

Demonstrated deep understanding and skillful application of AWS services in CI/CD pipeline development.
Employed effective problem-solving strategies to overcome challenges in pipeline integration and automation.
Continuously sought ways to innovate and improve processes for optimal efficiency and reliability.

Researching AI Mathematical Model : IISc Research Fellowship

Introduction

As a Research Fellow at IISc, I engaged in an in-depth exploration of AI Mathematical Models, concentrating on the development of innovative algorithms and computational techniques. My work was primarily focused on charting new territories in the field of artificial intelligence, contributing significantly to the progression of machine learning and data analysis.

Academic Contribution

My research efforts greatly expanded the academic understanding of AI. By delving into unexplored areas of AI and machine learning, I was able to provide valuable insights and knowledge to the scientific community, thereby enriching the academic discourse in this domain.

Practical Application

One of the key highlights of my research was its application to real-world scenarios. The AI models and techniques I developed were not confined to theoretical exploration but were actively applied to solve complex, real-life problems. This not only demonstrated the effectiveness of my theoretical research but also underscored the potential of AI in addressing real-world challenges.

Identifying adulterated substances in milk using Smart AI Techniques - IIT Madras

Introduction

During my tenure at IIT Madras, in collaboration with Hatsun, I had the opportunity to be part of a dynamic team that spearheaded the development of a groundbreaking hardware solution employing Smart AI Techniques. This project was focused on addressing a critical issue in the dairy industry – the detection of adulterated substances in milk.

Innovation in Food Safety

By developing this device, we made a substantial contribution to the field of food safety. Our solution provided a reliable and efficient method for testing milk purity, addressing a long-standing challenge in the dairy industry.

Practical Utility and Industry Relevance

The AI-powered device has significant implications for the dairy industry. By providing a quick and reliable method to test milk, it helps in ensuring the quality and safety of dairy products, which is of paramount importance to both producers and consumers.

Technical Achievement

The project stood as a testament to our team's technical proficiency. We successfully combined hardware engineering with advanced AI techniques, creating a solution that was both innovative and practical.

Contribution to Public Health

Our work contributes significantly to public health by ensuring the integrity of a staple food item. By enabling the detection of adulterated milk, we helped in safeguarding against potential health risks associated with contaminated dairy products.

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