-blog-api

A blog API in Django is an API that allows developers to interact with a blog's data, using Django as the backend. To create a blog API in Django, which is a powerful tool for building APIs in Django. serializers, and routers that handle the data and interactions with the API.

-emotion_detection_with_cnn

Facial emotions are important factors in human communication that help to understand the intentions of others. In general, people infer the emotional state of other people, such as joy, sadness and anger, using facial expressions and vocal tones

-gym-website-

Gym Website Design Using ReactJs

-usefull-docs-aws-hosting

Not to worry! Some hosting providers automate the HTTPS process. See the full list of hosting providers , or find out more about how to set up your system.

-yolo-object-detection-imagescpu

YOLO (You Only Look Once) is a state-of-the-art object detection algorithm that can detect objects in an image in real-time with high accuracy. OpenCV is an open-source computer vision library that provides a set of tools and algorithms for processing images and videos.

advertising-assignment-logistic-regression

In this project, we will be working with a fake advertising data set, Indicating whether or not a particular internet user clicked on an advertisement. We will try to create a model that will predict whether or not they will click on an advertisement based on the features of that user.

akshaysanil

alphanalysis-calculating-no-of-share

ASSIGNMENT-Use tradingview/Yahoo finance API to fetch required daily candle data .Calculate number of shares that can be bought with this amount by dividing it with daily closing price. You will get number of shares that can be bought for that stock for that particular day.

ann_for_image_classification--fashion-mnist

Artificial neural networks (ANNs) are commonly used for image classification tasks. The basic idea behind ANNs for image classification is to train a model to recognize patterns in images and assign labels to them based on those patterns.

book-recomendation

book-recommendation-system-

To build a book recommendation system, you need a large dataset of books, their authors, genres, descriptions, ratings, and any other relevant information

breastcancerdetection

BreastCancerDetection project includes logistic regression as one of the machine learning algorithms used to detect breast cancer. Logistic regression is a binary classification algorithm that predicts the probability of an event occurring based on input features.

build-a-responsive-react-js-website-

Build A Responsive React JS Website - CSS Modules - Beginner

categories-in-django-with-breadcrumbs

Guide to create a hierarchical categories in a tree structure easily with Django.

chicken-disease-classification--project

computer-vision-basics

create-react-app

Set up a modern web app by running one command.

decision-tree-random-forest-problem

Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor,

django

django-rest-framework

The popular and widely used industry-standard data interchange formats, REST API. It is the most used technique for data exchange. We will explain how to create REST APIs in Python using Django.

face-recognition-attendance-project-opencv-python-computer-vision

face-recognition-with-real-time-database

to create a real-time Face Attendance system. We will add an elegant graphical interface along with a live database to create a real-world system.

flask-login-project-to-build-google-oauth2-login-logout-system

Python 3 Flask-Login Project to Build Google OAuth2 Login & Logout System Using SQLite Database in Browser

foodblog

footballfrenzystore

gender-and-age-prediction-

I have explained about gender and age detection using keras and tensorflow. This project consists of both classification and regression. A CNN model will predict the age and gender using the facial image of the person.

gym-website

Gym fitness website using react

hand-sign-detection-asl-

In this project, to create a hand sign detector. We will use American Sign Language as an example. This project will include both detection and classification. And yes we will use our own data to train the model.

hand-tracking-30-fps-on-cpu-using-opencv-and-mediapip

The easiest way to implement your own hand gesture recognition is by using Leap Motion which has great performance, but your app will require an external sensor and is quite processor-intensive. But what if there is a way to do this by just use a single camera and in real-time

jauharmuhammed