v1zh3d

bu-project

A deep learning project on "Semantic labelling of each 3-d point"

Characterization-of-Binary-Machine-Learning-Classifier-for-Robust-Heart-Disease-Prediction

Heart disease is one of the world’s most common cause of death . Over 17 million people die annually due to various heart diseases . Our aim in this project is to predict whether a patient is having heart disease We are using Cleveland Heart Disease Database provided by UCI Machine Learning Repository .

COVID-19-ML-Forecasting

This is a ML forecasting model which forecast what the next confirmed cases will be in coming days. It shows implementation using Linear Regression and SVM (Support Vector Machine).

CoViz-Chatbot-Dialogflow

This is a COVID-19 Chatbot built with Dialogflow Framework which provides all vital information regarding novel coronavirus.

CoViz-Chatbot-Rasa

This is a COVID-19 Chatbot built with Rasa Framework which provides all vital information regarding novel coronavirus.

face-recognition

Deep face recognition with Keras, Dlib and OpenCV

Foodify

This project i a web application that uses machine learning back-end to identify your packed food and display info of all the nutrients in it and then by calculating your BMR it will tell you your daily calories intake you can take and its integrated with FitBit API (sample database is created to demonstrate not actual FitBit API). It will take burnt calories from the FitBit API and will tell you how much more you can eat food to fulfil daily calorie intake.

iNeuron-ML-Assignments

All the ML assignments from iNeuron ML course is uploaded here.

Vadoadra-House-Price-Prediction

This is a simple Linear Regression implementation machine learning model and deployment of the same using flask. Data-set of Vadodara House Price is created by us.

WIDER-Face-Detection-using-MTCNN

This is my first Internship Project on Deep Learning. This is a challenge of WIDER Face Benchmark whose aim is to detect faces in the images in any condition of various poses, illuminations and occlusions. And we managed to get the accuracy of 91% in detecting every type of images.

v1zh3d/WIDER-Face-Detection-using-MTCNN

This is my first Internship Project on Deep Learning. This is a challenge of WIDER Face Benchmark whose aim is to detect faces in the images in any condition of various poses, illuminations and occlusions. And we managed to get the accuracy of 91% in detecting every type of images.

v1zh3d/iNeuron-ML-Assignments

All the ML assignments from iNeuron ML course is uploaded here.

v1zh3d/CoViz-Chatbot-Dialogflow

This is a COVID-19 Chatbot built with Dialogflow Framework which provides all vital information regarding novel coronavirus.

v1zh3d/Vadoadra-House-Price-Prediction

This is a simple Linear Regression implementation machine learning model and deployment of the same using flask. Data-set of Vadodara House Price is created by us.

v1zh3d/CoViz-Chatbot-Rasa

This is a COVID-19 Chatbot built with Rasa Framework which provides all vital information regarding novel coronavirus.

v1zh3d/bu-project

A deep learning project on "Semantic labelling of each 3-d point"

v1zh3d/Characterization-of-Binary-Machine-Learning-Classifier-for-Robust-Heart-Disease-Prediction

Heart disease is one of the world’s most common cause of death . Over 17 million people die annually due to various heart diseases . Our aim in this project is to predict whether a patient is having heart disease We are using Cleveland Heart Disease Database provided by UCI Machine Learning Repository .

v1zh3d/COVID-19-ML-Forecasting

This is a ML forecasting model which forecast what the next confirmed cases will be in coming days. It shows implementation using Linear Regression and SVM (Support Vector Machine).

v1zh3d/face-recognition

Deep face recognition with Keras, Dlib and OpenCV

v1zh3d/face_recognition

The world's simplest facial recognition api for Python and the command line

v1zh3d/flutter-beginners-tutorial

All course files for the Flutter Beginners playlist on The Net Ninja YouTube channel.

v1zh3d/Foodify

This project i a web application that uses machine learning back-end to identify your packed food and display info of all the nutrients in it and then by calculating your BMR it will tell you your daily calories intake you can take and its integrated with FitBit API (sample database is created to demonstrate not actual FitBit API). It will take burnt calories from the FitBit API and will tell you how much more you can eat food to fulfil daily calorie intake.

v1zh3d/mean-course

This is a sample MEAN Stack web application. It simply adds posts with images and give login and sigup options.

v1zh3d/artifact-nextjs

v1zh3d/computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

v1zh3d/derma-aid

In this project we present a novel solution for skin disease diagnosis. We will be able to classify them and provide efficient diagnosis in record times – with a simple picture, patient can quickly identify their pathology by using Machine Learning and get quick instructions to tackle their illness, giving dermatologist more time to focus on finding the cure of the disease for the patient rather than diagnosing what disease patient is undergoing. This approach eliminates human bias, error and gives a speed increase in diagnosis time, on top of that it will democratize skin care, where everyone with a camera can have an accurate diagnosis.

v1zh3d/flutter-firebase

All course files for the Flutter & Firebase tutorial playlist on The Net Ninja YouTube channel

v1zh3d/Karatsuba-Multiplication-Algorithm

This is the code for different approach of multiplication algorithm the Karatsuba Algorithm written in C++ and Python.

v1zh3d/OAuth-Implementation

Sample OAuth Implementation using NodeJS and MySQL

v1zh3d/osfest-web-extension

This is a web extension for coloring the border of web browser.

v1zh3d/react-marioplan

v1zh3d/Vadodara-StartUp-Festival

Vadodara-StartUp-Festival

v1zh3d/World_Time_App

This is a basic World TIme App build in flutter. Its my first project on mobile development and flutter.