We will learn about object detection using a very powerful algorithm known as the YOLO algorithm using Keras in Python
This project is made in Python and is basically a classifier for chatbots that can be used to classify questions and improve customer service flow.
This Django project mimics the working of Craiglist and makes use of concepts like Web Scraping, Storage, and Web Development.
This is basically a classifier that takes certain parameters as input and then gives the output whether the customer is likely to buy a product or not made in Python.
Weeds are a major roadblocks to farmers which tend to reduce their yield. Here we aim to detect those weeds using Deep Learning
Digit recognizer trained in python using the MNIST dataset. Accuracy: 99.26% CNN model trained using Keras in Google Colab.
Face Recognition in python3 using - i) Haar Cascade Classifier in OpenCV ii) MTCNN library with high accuracy. The code detects faces in pictures.
In this tutorial, We are going to build a facial recognition system model in Python using Keras. Most of the ideas are taken from FaceNet and DeepFace.
This is a project on a simple banking application using Java. It handles the basic banking services like check balance, deposit cash, withdrawing cash, etc.
This project is all about a employee payroll system in Python using tkinter. It generates employee's weekly salary,payslip etc. By using this system one can generate payslip in one go.
The chatbot is made using Python. Famous library of TensorFlow is used for making it. Basic intents are used. Chatbot can answer regarding menu and restaurant information.
Here we identify potential customers for loans using Machine Learning techniques based on Python