Vedant Shrivastava's Projects
Project includes an AI contextual chatbot built using the tensorflow and tflearn library. Used concepts of Natural Language Processing (NLP) and Neural Network.
Included AI-Projects under Computer Vision.
Deep Learning Library
Project completed under LinuxWorld Informatics Ltd. - AWS EKS Training.
Project includes an exploratory data analysis of the Bay Area Bike Share using basic data analysis and data visualization tools and packages in Python.
Tethering ~ Certifications.
Programming Codes.
Snake Game,Ping Pong Game,Tic Tac Toe Game using C++
Our Solution to the CoVid-19 Pandemic.
CryptoBuyer is a prototype. It is a Marketplace that runs over the Ethereum Blockchain. It is able to manage products (and orders, too).
Projects completed under LinuxWorld Informatics Ltd. - DevOps Assembly Lines Internship.
DO180 Repository for Sample Applications
Project Completed under the IIEC-Rise Docker Training.
Face Recognition AI Code.
Simple code to convert face movement into keyboard commands.
Project completed under LinuxWorld Informatics Ltd. - GCP Training.
Project includes categorization of acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) using Principal Component Analysis and sorting algorithms on datasets of gene sequencing.(In Progress)
Project includes a Random Forest algorithm to detect heart disease in patients on the basis of 14 physiological attributes.
Project completed under School of Innovation India from facebook, AR101 Course.
Projects completed under LinuxWorld Informatics Ltd. Internship.
Project includes an Instagram filter created using the Spark AR Technology.
Project includes Implementation of an algorithm using Python to remotely extract building heights by combining LIDAR (Light Detection and Ranging) datasets and building shapefiles.
Project includes a CNN Model which successfully classifies blood cell images into malaria infected and uninfected category with an accuracy of 95% and a recall of 93%.
Prediction of COVID-19 infection with Deep Learning using Chest X-Rays, Performing Instance Segmentation with Mask R-CNN.
DevOps project built under Mayadata Hackathon 2021.
Project Includes python script (which runs in an MLOps environment) with the task of auto training Models until a desired accuracy is achieved.
Projects completed under LinuxWorld Informatics Ltd. - MLOps Training.
Project includes an Instagram filter created using the Spark AR Technology.