Emotic: Emotions in Context
Using scene contextual information to recognize continuous and categorical emotional states.
Hi! I'm Abhishek 👋
I am presently pursuing Master's in Computer Vision (MSCV) at Carnegie Mellon University (CMU - Pittsburgh Campus) and am actively looking for Computer Vision/Deep Learning internships for Summer 2023.
I recently completed my stint at Nayan, building and deploying solutions to improve road safety. Productionizing the AI platform, I also collaborated with cross-domain teams such as DevOps/QA/Data Annotators to streamline operations and with business teams to build new use cases.
My professional experiences have helped me develop skills as an applied AI researcher & engineer. For more information, please scroll down to explore some of my projects or find my resume here .
If you can't find me working on projects, you will find me either reading books or in the kitchen, cooking while singing old Bollywood songs in a horrible voice. 😅
Personal Projects
CycleGAN SSIM
Trained cycleGAN with loss functions based on structural-similarity index as the cyclic loss to improve the image quality.
Facial Emotion Recognition
Trained and deployed a CNN model in a Flask application to recognize emotions based on facial images.
Image Editing using GAN
Developed a pipeline to edit images using GANs to have desired attributes.
Quality Control using Deep Learning
Developed a CNN based visual inspection pipeline to distinguish between defective and defect-free products.
Udacity Computer Vision Nanodegree
Projects of Udacity Computer Vision Nanodegree, project 1 pn facial keypoint detection, project 2 on Image Captioning, project 3 on SLAM and extra curricular project on C++ code optimization