priyanshig9

priyanshig9's Stars

• talhaanwarch/Corona_Virus

  Diagnosis of corona virus using Chest X-ray and CT-scan through deep learning

  Language:Jupyter Notebook103

• murtaza-repo/BMI_Flask_App

  A simple BMI Calculator using Flask (Python)

  Language:HTML1

• mansi1597/Techno_Forum

  Social Networking Website project in Django for team building

  Language:Python81

• rishibi16/BMI-Predictor

  It is widely used as a general indicator of whether a person has a healthy body weight for their height

  Language:Jupyter Notebook1

• devprabal/BMI-prediction-of-health-status

  Machine Learning to predict the health status (BMI : Body Mass Index)

  Language:Jupyter Notebook34

• charchitd/Childhood-Austism-Disorder-Screening

  Childhood Autistic Spectrum Disorder Screening using Machine Learning : The early diagnosis of neurodevelopment disorders can improve treatment and significantly decrease the associated healthcare costs. In this project, we will use supervised learning to diagnose Autistic Spectrum Disorder (ASD) based on behavioural features and individual characteristics. More specifically, we will build and deploy a neural network using the Keras API.

  Language:Jupyter Notebook102

• PriyabrataThatoi/Covid-19-FAQ-ChatBot

  SARATHI is a RASA NLU powered chatbot that takes user inputs and responses in return. The chatbot uses the SpaCy language model to matches the user input with the intent repository. It also call s API to look up medical facilities based on the location and medical facility type provided

  Language:Python1

• vanshBhatia-A4k9/Rasa_covid_chatbot

  A basic chatbot for answering COVID-19 related questions built using the Rasa framework with the Rasa X Wrapper able to integrate with a variety of platforms; links to references and integration details can be found in the Readme.md

  Language:Python1

• harshgeek4coder/Rasa-COVID-19-Tracker-FAQ-Chatbot

  A simple Chatbot made using RASA framework -COVID-19-Tracker-FAQ-Chatbot

  Language:Python145

• emmannweb/simple-web-app-with-Ajax-and-Json-to-fetch-total-population-from-an-API

  simple web app with Ajax and Json to fetch total population from an API for a given country and a given date, along with a little form validation.

  Language:JavaScript1

• SharinaS/population-height-web-app

  A web app built with HTML, CSS and python, and a PostGreSQL database. Its purpose is to calculate the average population height, based upon the collection of users' input.

  Language:Python1

• hendrassirait/Python-World-Population

  using django to create HTML page that shows population of the cities around the world

  Language:HTML1

• AnshikaY/Area-wise_Cab_Demand_Predictor

  Machine learning model based on supervised learning. It predicts demand of cab rides in an area by taking price per week, population, monthly income and average parking per month into account. Tools and technology used: NumPy, Pandas, Scikit-learn, Pickle, Django

  Language:Python1

• KaiLangen/pos_website

  Python web application written in Django, that uses Scrapy for data retreival and database population

  Language:JavaScript1

• joeestes/bible-database

  A set of tables and models (if you are using Django) including the following: Translation, Book, Chapter, and Verse. Includes SQL insert statements for easy database population.

  Language:Python42

• hackstarsj/DjangoMedicalStoreManagementSystem

  DjangoMedicalStoreManagementSystem Server Side

  Language:Python10243

• thecaffeinedev/Real-Estate-Django-Web-App

  Real Estate Django Web App

  Language:CSS244144

• MicroPyramid/opensource-job-portal

  opensource jobportal in python django

  Language:HTML391211

• Technocolabs100/Data-Science-20-Feb-Optimizing-Lending-Club-s-Financial-Risk

  Language:Jupyter Notebook512

• codeperfectplus/machine-learning-web-applications

  Data science web project implemented in Django framework.

  Language:Python6322

• Tejas1510/Awesome-Javascript-and-React-Project

  This is a repository for javascript and react projects built in association with hactoberfest and is a part of hacktoberfest.

  Language:HTML77107