Here are few projects which I worked on recently.
Developed a Deep Convolutional Neural Network based diagnostic model for Detection of COVID-19 from CT-Scan Images with the customized activation functions and optimizer functions.
Tech Stack : Deep Learning, Neural networks, Machine Learning.
Assisting farmers to understand the selling price of their yields, government schemes available for their crop, as well as how to be prepared in the case of a pest or insect attack.
Tech Stack : HTML, CSS, Bootstrap, Angular Js
Foresight plan your day everyday will help an individual to plan the day efficiently with placements, classes and competitive programming.
Tech Stack : HTML, CSS, JavaScript, Typescript, Angular Js, Node Js, Mongo DB.
A machine learning model was developed to detect the emotion of a person, which may be classified as positive, negative, or neutral depending on the user's feedback.
Tech Stack : HTML, CSS, Bootstrap, Python, Machine Learning, Flask.
A model for face recognition engine based on OpenCV to detect faces via a live webcam feed.
Tech Stack : Python, Machine Learning, Open CV, Support vector machine.
A Web application that connects hospitals, blood donors, and acceptors so that blood may be requested and received in a timely way.
Tech Stack : HTML, CSS, Bootstrap, JavaScript
As part of Teaching Assistantship at UGA Computer Science Department, I have supported the instruction and student success in undergraduate courses, leveraging technology to enhance learning. Developed educational resources and applications to enhance student engagement.
As part of Research Assistantship at UGA Computer Science Department, I was accountable for data processing, training and developing neural network models. Conducting experimental research and analyzing results to drive innovation in Artificial Intelligence.
I worked as a full-time developer at Deloitte USI Consulting in Cloud Engineering domain
Worked on Campaigns Discontinuation project, and used data handling tools like Tableau, Pentaho.
Explored mezzanine technologies such as machine learning and worked on Sentimental Analysis and Fake news Detection projects.
Worked as a student research intern on an Agricultural related project and developed a responsive website.
Campus ambassador for Internshala (ISP) to provide crucial internship information to students.
A part of Team NSS VNRVJIET - Social Service through Personality Development.
A research paper on the project "Detection of COVID-19 from CT Scan Images" was presented at the esteemed conference.
ISSN: 1757-899X
A research paper was published on topic "Survey on Big Data Analytics" in the prestigious journal.
ISSN: 2321-9653
Won first prize in the “HealthCare 4.0”, a 36-Hour Hackathon with the theme "Smarth Healthcare" conducted at VNRVJIET as a part of the J-HUB Hackathon League
My Active participation in coding challenges made it easier to secure first place and cash reward in the NAARI Coding Contest hosted by IEEE Hyderabad.