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Starter template for your Flask and Flask Rest API projects. Build on or modify to suit your development need. No need to setup, just fork this repo and start building your project.
ZOPS CPaaS Platform source
The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.
Full stack Django 2 Social Media Website. Users can login/signup and check out different blog posts by other users in different groups. They can join groups they like created by other users or create their own group and post blogs.
A complete stack for running a Docker container with Python 3.8 and all the necesary dependencies for Dash Plotly with GUnicorn as HTTP Server.
RespireNet is an innovative web-based application that harnesses the capabilities of deep learning and Mel-frequency cepstral coefficients (MFCC) as a feature extraction technique for accurate respiratory disease prediction. The primary objective of this user-friendly web application is to facilitate early detection.
Recreating GitHub's Contribution Graph using Python Flask and Google Sheets
A quick cross platform application built to connect nearby users with shared interests.
A step by step tutorial on deploying a django project to a vps using nginx and gunicorn
Deploy django project to Ubuntu Servers
This real estate web app allows real estate agents to manage property listings and customers to search and browse those listings
Uber Technologies, Inc., commonly known as Uber, is an American technology company. Its services include ride-hailing, food delivery (Uber Eats), package delivery, couriers, freight transportation, and, through a partnership with Lime, electric bicycle and motorized scooter rental. The company is based in San Francisco and has operations in over 900 metropolitan areas worldwide. It is one of the largest firms in the gig economy. so that i Make this Project so company can pred there weekly as well as monthly rides pred that can company help to mange there rides info correctly
Dockerizing fullstack application using Flask, Gunicorn, Mongodb, Angular 8, Nginx
A full stack application using python flask and and a suitable database with it. (MongoDB/SQL)
Infrastructure files, deployment, and installation guide. We utilize Docker Compose, Docker, Django, and more!
End to end implementation and deployment of Machine Learning Spam Detection using python, flask, gunicorn, scikit-Learn, nltk, etc. on Heroku web application platform.
End to end implementation and deployment of Machine Learning based Student Mark Prediction.
Instruction to host Django project on ubuntu server with Nginx and Gunicorn.
Nginx-Gunicorn-Django deployment in Ubuntu-16.04 using Fabric
A responsive food ordering website with an API integrated Google OAuth 2.0 for user authentication. Used Inheritance-based template design to create recyclable views for login, adding items to cart, checkout, and displaying all orders on the dashboard. Feature to add new items right from the Django admin for rapid scalability.
Manual and Automatic Deploy for Flask App powered ML Model on AWS EC2 Instance amazon linux
flask starter, support gunicorn start,stop,reload script and restful view , auto restful sqlalchemy model, auth and permission
Book Review Website
I developed the Project which is based on Machine Learning. I used the algorithms i.e. Content-based Filtering and Count Vectorization and Cosine Similarity based on the similarity of movie attributes. It is basically recommends the movie based on user's behaviour.
Created a workout tracker app using Django and Angular, as well as a CI/CD pipeline with Jenkins
A simple Task todo application built with Flask
Assignment for Cornell's CS1998 (Introduction to Backend Development).
Web-based augmented reality (AR) using Three.js and AR.js.
E-commerce Project. This project is a complete e-commerce solution built with Django, designed to provide a robust platform for buying and selling products, managing inventory, and handling orders.
This fraud detection system is powered by a Machine Learning model, which accurately identifies whether an initiated transaction is fraudulent.
The next version of student monitoring application.