" Intelligent System for Detection and Classification of Diabetic Retinopathy "

Diabetic Retinopathy (DR) is a major complication of diabetes that can lead to permanent blindness if not detected early. It often progresses silently, showing little to no symptoms until it reaches a severe and irreversible stage. Early diagnosis plays a crucial role in preventing vision loss and ensuring timely medical intervention. However, current detection methods rely on manual examination of retinal images by ophthalmologists, which is time-consuming, expensive, and prone to human error. To address these challenges, this work proposes an automated machine learning approach for early detection and classification of DR using colored fundus images. The model employs a pre-trained ResNet152 architecture for feature extraction and classification, categorizing images into different stages of DR severity. This automated system aims to support doctors by improving diagnostic accuracy, reducing workload, and enabling faster screening for diabetic patients.

" — AIP Conference Proceedings, Volume 3037, Issue 1 , RIST 2022 International Conference, April 2, 2024

"Intelligent Plant Disease Identification and Automatic Irrigation System for Agricultural Fields"

In India, there are many people who are interested in growing, caring and monitoring the plants. This might be out of their interest in plants or to sell the fruits and flowers of the plants or to reduce the effect of global warming. The plants should be monitored properly and taken care because if the amount of water in the soil increases or decreases, then, it may harm the plant. The plant also needs a sufficient amount of sunlight, so that it can grow well. For this, we can develop a mobile application. This application can tell them that, the plant needs water by testing the moisture content of the soil using a sensor. The notification about the low moisture content in the soil is known to the user by using android application. Hence the motor is made automatically on and off by indicating the soil moisture. Here we also use the application of testing the disease affected leaf in a plant using image processing. This system will be very helpful for the people when they are not at home or when they are not well so that they can take care of their plant.

" — International Journal of Networks and Systems, ISSN 2319 - 5975 ,Volume 8, No.3, April - May 2019

"Why the Blockchain is Your Best Bet for Cyber Security?"

The article highlights that blockchain's decentralized, cryptographically secured, and tamper-proof architecture provides a transformative approach to cybersecurity by eliminating single points of failure and ensuring data integrity through immutability and consensus-based validation. Its applications — such as decentralized DNS, enhanced public key infrastructure, and transparent digital transactions — bolster protection against fraud and unauthorized access. While challenges like scalability, interoperability, and governance persist, blockchain’s transparency, trustless verification, and resilience make it a powerful foundation for securing modern digital systems and defending against evolving cyber threats.

" — OpenSourceforu.Com, September 13, 2019

" Other Recognitions"

Computer Society of India(CSI) — Associated with Amal Jyothi College of Engineering , August 2016 - Jul 2019

Principal's Honors List — Associated with Amal Jyothi College of Engineering , 2015 - 2016

HTML, CSS, and JavaScript for Web Developers certified by Course era.

Data Analysis with Python certified by Course era & Authorized by IBM.

Azure Fundamentals (AZ-900) certified by Microsoft.

" — Professional Highlights