Sumit Kutty's Projects
This project is a regression problem done as a part of the Kaggle competition.
Anti-Spoof Face Recognition system based on ResNet-34 network, using OpenCV, DLIB, IMUTILS.
Deep Image Matting
Face Mask Detection Using MobileNet, Transfer Learning, CNNs, OpenCV, and imutils.
An Implementation of a regression problem containing aspects of feature importance, feature engineering, model training and tuning.
A demonstrative Deep Learning project involving CNNs and OpenCV and Image Processing.
A deep dive into rigorous data cleaning, feature selection, feature engineering, predictive modelling, model boosting and tuning.
A project on image blending using various image processing techniques like image segmentation, pre-processing, contour detection etc.
An exploration of an interesting dataset, which contains explicit records of hundreds of IPL matches.
Deployment of a machine learning model using Flask and Heroku.
Deployment of a machine learning model using Streamlit and Heroku.
Object Detection Model to detect person and car
An Object Detection model to detect products on shelf using Tensorflow
Set up a CI pipeline with travis-ci and deploys a containerized web application to AWS Elastic BeanStalk
6-class classification problem on a large dataset using machine learning.
A demo to build a from scratch simple RNN to predict the nationality of a person given a name
The projects are a part of the internship by The Sparks Foundation
Config files for my GitHub profile.
An insightful exploration of the dataset from the Global Terrorism Dataset. This project was part of the internship with The Sparks Foundation.
Semantic Segmentation of seismic images of Salt and Sediment Classes
A simple implementation of the famous titanic dataset from Kaggle competition.
APi to create and manipulate a SQLite3 database
Implementation of the encoder of the transformer architecture.
An implementation of object tracking coupled with object detection to detect and track people in CCTV footage.