aswin-s25

cglab

churn-prediction

Customer churn prediction is to measure why customers are leaving a business. In this model we will be looking at customer churn in telecom business. We will build a deep learning model to predict the churn and use precision,recall, f1-score to measure performance of our model

cloud_and_data_analysis

codestackr

data_augmentation

deepak-coder80

dsa

e-commerce-complete-flutter-ui

emotion-recogonising

final_pay

fitmate

Workout and fitness tracking using motion detection

flutter_application_facebook

gelocation

google-map-api

We will implement a map with some custom markers, info window, event listeners and we will optimize the code so that we can easily add new markers with new properties to it. We will also go through how to remove the water mark (only for developer purpose) and go through how to make this project your own and add more properties and methods

google-places-autocomplete

Google Places Autocomplete & Reverse Geocoding

hacktoberfest

image-classification-using-cnn-keras

login_page_flutter

mern-auth

mern-eshop

An ecommerce shop built with MERN Stack

mern-project

motion-detection

notime

oops

plant_disease_prediction

plants

potato-disease-detection

This GitHub repository hosts a robust solution for predicting potato leaf diseases using a Convolutional Neural Network (CNN) model. The CNN is trained to classify images into three categories: Early Blight, Healthy, and Late Blight.

restaurantly

sample