2020 - Finalsem project

Plant Leaf Disease Detection using Deep learning algorithm

On October 3, 2020February 11, 2022

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 with training…

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Image Steganography algorithm based on edge detection

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On September 11, 2020February 15, 2022

A novel steganography algorithm is proposed based on local reference edge detection technique and exclusive disjunction (XOR) property is proposed. Human eyes are less sensitive towards intensity changes in the sharp edge region compared to the uniform region of the image. Because…

Heart Disease Prediction Using Hybrid Algorithm

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On September 2, 2020February 15, 2022

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 decision tree…

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Liver Disease Prediction through machine learning and deep learning

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On July 24, 2020February 15, 2022

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 best one….