Hemanth Kollipara's Projects
ADAS is an Advanced driver assistance system that alerts drivers to prevent accidents due to human error.
A multi-functional robot that can be remotely operated that is capable of many tasks for which we are going to use sensors to gather different data to provide monitoring and management of the farm to increase efficiency and quality of crops produced intelligently.
π€ ARLO is a robot that can be deployed in COVID-19 containment zones for delivery of essential supplies like sanitizers, masks improving safety in logistics and also surveillance of the area.
Artify is a flask web application which can take an image from user and convert it into an artistic image using Machine Learning
It is a web-based DMS application that facilitates the management of automobile dealership increasing its efficiency and makes management much easier.
This repository contains the code for a Webhook microservice. It is a webhook microservice where the admin can CREATE, READ, UPDATE, DELETE webhooks.
This repository contains codes and materials for demonstrate various computer vision applications and techniques.
This is a Content Based Image Retrieval System(CBIR) where the program takes some input images and extracts the image feature vectors and stores them. When another image is given as a query image to the program it searches for all similar images that are given as input
The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
This repository consists of various Deep Learning projects and materials that have been implemented on various datasets.
:octocat: Hello! This repository is for the welcome message on my Github Profile. β If you like it!
This project aims to understand the underlying semantics of the text sentence using natural processing techniques to predict reasonable emojis based on the context.
Facial Keypoint Detection is the marking of important areas of the face i.e. the eyes, corners of the mouth, the nose, that are relevant for a variety of tasks, such as face filters, emotion recognition, pose recognition using convolutional neural network and computer vision techniques to perform facial keypoint detection.
CRISP is a Fast Image Search application that retrieves similar images from a database based on the query image by using Parallel computing paradigm.
This repository contains machine learning projects and materials for demonstrate various machine learning techniques.
This is the repository of Machine Learning Internship I have done with CareerLauncher endorsed by AICTE and Intel Partnership
This Repository contains C implementation of various basics of parallel computing using OpenMP.
π‘ RasComm is a communication device that translates plain text into Morse code (IMC) visually or audibly.
The real estate management system is a web application designed for any real estate agency, which has an intuitive and effortless to use to interface for both its agency owner and its customers. Here owners can log in with their given ID and password in order to manage the website. The owner can post the property that needs to be sold by the agency in the property listings. The customers of the agency can register and log into the website. Here the customers can browse through various properties listed on the website which enable the customer to find the property as per his/her requirements.
Grab your own sweet-looking '.is-a.dev' subdomain
This repository contains codes and materials for demonstrate various applications and techniques in self driving technology.
SITS is a secure IoT system that implements lightweight cryptography which performs strong security mechanism, encryption or decryption with low power applications. Here we apply the lightweight cryptographic algorithms in order to achieve end-to-end security and with lower power consumption in these devices. These lightweight algorithms are designed for IoT to deal with the security and resource utilization challenges.
In this paper, we have taken up the task of multi-class classification of skin lesions from dermatoscopic images in the HAM10000 dataset using deep convolutional neural networks