I'm Vaishak I Kuppast a Cloud compute, AI and Robotics Enthusiast, working in AWS(Amazon Web Services), pursuied degree in a Electronic and Communication Engineering at KLE Technological University, Hubli, India. I'm passionate about Cloud computing and architecture, Artificial Intelligence and 3D design and rendering, and I have a lot of experience in these areas through coursework and personal projects. I have skills in programming and softwares, can be seen below.
This Project is a part of my project idea AURA. Here we propose a method of playing 4D models reconstructed from live RIG of humans in action, in resource constrained devices llike android device.
This Project is a part of IRP(Industrial Research Project) of our college.Here we propose a method of visualizing Indian Digital Heritage sites by means of creating Mixed Reality experience through android app.
The goal of this project was to develop a Deep learning based solution for Emotion recognition using both audio and video input modalities and to dump the model into Android.
Role: Developed Emotion recognition app. Fusion of 3 Deep learning models in Android. Worked on VGG-LSTM model.
Existing approaches use CNN's to read text that appears in a horizontal or near horizontal direction in images. In this project solved problem to recognize text appearing in the multi-oriented direction in images.
Role: Trained Caffe FCN model and annotated generated data-sets.
Performance of image categorization algorithm reduces on crowdsourced data due to its high dimension. We propose a pipeline to filter the crowd-sourced data and select good and low dimension images.
Role: Shadow and Blur detection model,Occlusion Detection from YOLO model and Text detection from images using Tesseract OCR.
As a Freelancer I developed a Matrimonial app for Aqila Bharatha Shivasimpi Samaj.Reg Community.
Now the app has More than 100+ Downloads in Google Playstore.
Role: Developed an Android Application using Android Studio, PHP, Google Scripts, Javascripts and some API. Has Dynamic Face Cropping Feature.