Face detection along with Emotion and Drowsiness detection
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MODULES The modules included in our implementation are as follows Dataset collection Data pre-processing Training and prediction using Regression Models DATASET COLLECTION The dataset is downloaded from kaggle.com with two classes ‘healthy’ and ‘diseased’. The dataset contains plant leaf image Read more
IMPLEMENTATION METHODOLOGY The proposed work is implemented in Python 3.6.4 with libraries scikit-learn, pandas, matplotlib and other mandatory libraries. We downloaded dataset from uci.edu. The data downloaded contains binary classes of heart disease. Machine learning algorithm is applied such as Read more
OBJECTIVES Objective of study is to implement Liver Disease prediction application based on machine learning techniques. The major objective is to predict the disease with higher accuracy. To propose more than one machine learning algorithm and compare to find the Read more
Lane detection using CNN algorithm with Vehicle detection