Aspiring Full Stack Developer | MSCS - Graduate @UCM | MERN Stack | SQL | AWS | RestAPI

Vamsi Krishna M  • Peerlist

- Preprocessed 20,000 retinal images using Image Data Generator module in OpenCV
- Implemented feature extraction techniques to find the ROI for modeling using HSV segmentation
- Visualized the model performance of the developed CNN model

Diabetic retinopathy Detection using Image Classification

Designed an interactive tool that takes rough sketch as input and gives related images as output
from the model that is trained using CYCLE- GAN, deployed it in AWS using Lambda Function and S3 Bucket and set end-point to the web application.

Interactive Image Generation using Contextual GAN over the  

- Developed a KANBAN Board for visual representation of work processes, utilizing a board with columns that signify different stages of the workflow. Tasks, represented as cards, move through these columns, providing a real-time snapshot of the project's progress. 
- The System is built using React JS, HTML, CSS, and JavaScript
- Features in the application are: 
Drag & drop tasks
CRUD for tasks, labels & columns
Edit task descriptions
Add sub-task
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KANBAN Board

The aim of this project is to help blind people by letting them know when an obstacle is detected and along with the audio to let them know where to move next. This is entirely done in real-time without any use of the internet and smartphone.