hemanthtejay Goto Github PK

ai-based-maze-solving-robot

The field of robotics has advanced greatly in recent years, having a large field of research in finding solutions to everyday problems, such as problems solving mazes and test new designs. The objective of the project is in using an autonomous robot with ultrasonic sensors in solving mazes, using automation, robotics, artificial intelligence and computational logic. Verifying and analysing the logic used in the process of solving mazes, where there is only a beginning and an end, autonomously

aid-data-visualization-geo-time-and-network-analysis-

Engineered a comprehensive dashboard to answer various questions about global AidData using D3 visualizations.

analyzing-new-york-city-parking-violations

We use SQL, Spark and Hadoop technologies to analyze the NYC Open data. These technologies help us attain some useful insights about the parking and open violations in New York City.

aws---find-your-food--nlp-chatbot

"Find your Food" is a serverless, microservice driven web-based application. It is an intelligent natural language powered chat-bot that is designed using multiple AWS components such as AWS Lex, S3 Buckets, API Gateway, Swagger, Lambda Functions, Cognito, DynamoDB, SQS, Cloud Watch and Elastic Search. This chatbot can help you provide restaurant suggestions based on your requirements such as - City, Time, Number of people, Cuisine Type and Date. The bot uses the yelp API to fetch relevant suggestions and mails the suggestions on the email-id that the user provides.

aws---pool-save---mini-uber

"Pool & Save" is a serverless, micro-service driven web-based application. The Carpool system would enable users a safe and secure way to share rides within a 5 mile radius. This could include short daily journeys such as going to the workplace within the city . The entire web based application is designed using multiple AWS components.

aws---smart-door---amazon-kinesis

We use Kinesis Video Streams and Amazon Rekognition to build a distributed system that authenticates people and provides them with access to a virtual door.

aws-photo-album---using-transcribe-rekognition

This is a photo album web application that is deployed on AWS. The application searches through photos using natural language through both text and voice. Some of the important AWS services that are used are Lex, ElasticSearch, and Rekognition. These services have helped build and create an intelligent search layer to query the photos of people, objects, actions, landmarks and more.

credit-card-fraud-detection-

Developed an ETL pipeline to process and approve/decline credit card transactions. Analyzed buyer’s pattern to classify transactions as fraudulent / authentic and batched the transaction details to create monthly billing statements.

deep-learning-

Implementation of - 2 layered neural network, ... * To be Filled*

deep-learning-image-captioning---a-comparative-study

Deep Learning Course @New York University

exploring-blockchain-features-using-virtualization-features

Blockchain technology is experiencing prosperity as it is a very powerful and revolutionary trend. A wide variety of open source blockchains emerge recent years, which are different in architecture design or protocol parameters. When a developer wants to compare working of different blockchains, he could conduct a simulation with event simulator, or run application on physical machines. Either way will result in problems of unconvincing or costly. Container, a lightweight virtualization technique, is suitable for solving this dilemma. Tens of containers could run simultaneously in a single-core CPU computer, with each container having a running blockchain client. Hence, in this project we attempt to build a private ethereum blockchain with two clients using containers. We also use the RPC method to enable them to communicate and also get rewards for finding blocks by mining.

hemanthtejay.github.io

My Portfolio

ieee-research---border-identification-using-embedded-systems-and-internet-of-things

ieee-research---neural-networks--malware-analysis-

IEEE Research - EMBER : Analysis Of A Malware Dataset Using Convolutional Neural Network

implementing-unix-from-scratch-

machine-learning-

Machine Learning - Implementing Various Algorithms

markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

nycopendata-profiling-analysis

Open Data Profiling, Quality and Analysis

omninet

Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

prediction-of-breast-cancer-using-machine-learning-techniques

Using this dataset of 32 variables measuring the size and shape of cell nuclei, goal is to create a model that will allow us to predict whether a breast cancer cell is benign or malignant

tictactoe---javascript

A TicTacToe game