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automated-weather-classification-using-transfer-learning

The system in this research uses transfer learning to categorise the many forms of weather. These weather conditions are primarily divided into 5 groups: cloudy, sunny, rainy, foggy, and sunrise. High-performance classifiers in artificial intelligence (AI) mostly use deep-learning (DL) techniques.

diabetes-prediction-using-logistic-regression

This project objective is to predict the type 2 diabetes, based on the dataset.

digit-recognition-using-ml-

Digit recognition using neural networks(CNN classification technique)

dl

fake-news-detection-

guvitask

hd

hfddataset

mapfrontend

monitoring-human-movements-and-automated-alert-system-for-suspicious-behaviour-using-lstm-model

A System for alerting and sending message to the caretaker if a human fall is detected. This system works with LSTM model.

reviving-history-bringing-old-photographs-to-life

Deep learning project that enhances and colorizes old photographs, providing a fresh and vibrant perspective on historical images, restoring faded colors, and revealing new details.

rider-re-route-suggestions-using-demand-forecasting-based-on-passenger-s-routes

spectacles-recommendation-system-based-on-faceshape

The system integrates CNN model techniques which helps to classify human face shape. Provides features such as extraction of face shape from the face dataset and analyzes the suitable frame for their face shape. After the process of classifying face shape, the system will automatically recommend suitable frames.

weather-classification