Vishal Jha's Projects
Performing ARP implementation using UDP, where we get the MAC address from the provided IP address in the input field when the network is the same.
An autoencoder is a type of artificial neural network used to learn efficient data codings in an unsupervised manner.
A deep learning project to score an essay on a scale of 1 to 10 from the given prompts.
An awesome README template to jumpstart your projects!
https://vishaljha2121.github.io/box-challenge/
Solutions to Codechef problems
Customer Churn is a metric used to quantify the number of customers who left the company.
Unsupervised learning project
Programming assignment solutions for coursera algorithms specialisation #1
Exercise buddy is a computer vision project to help the user in counter their squat reps and box-punching reps using google's mediapipe body tracking API solution.
Python package for graph statistics
Hand tracking web application that utilizes Google's MediaPipe API and React JS for hand pose estimation.
Convolutional Neural Network (ConvNet/CNN) is a Deep Learning algorithm which can take in an input image, assign importance (learnable weights and biases) to various aspects/objects in the image and be able to differentiate one from the other.
This is an image captioning deep learning model, which returns a single line description of the image fed to it.
The Architecture and parameter used in this network are capable of producing accuracy of 97.56% on Validation Data which is pretty good. It is possible to Achieve more accuracy on this dataset using deeper network and fine tuning of network parameters for training.
This project aims to analyse the trend of price of a cryptocurrency coin with relation to it's corresponding twitter data. Here the trend of price is correlated with the sentiment of tweets for the same date-range.
Practice files
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent