ANALYSIS OF CHRONIC LIVER DISEASE DETECTION BY USING MACHINE LEARNING TECHNIQUES

5,500.00
Aim: The aim of this project is to develop a machine learning system for the early detection and prediction of chronic liver disease.

Android Malware Detection Using Informative Syscall Subsequences

5,500.00
Aim: To develop a robust and efficient system for detecting Android malware by leveraging informative syscall subsequences, advanced machine learning, and deep learning models trained on the CICMalDroid2020 dataset.

Predicting Agriculture Yields Based on Machine Learning Using Regression and Deep Learning

5,500.00
To develop a robust and accurate crop yield prediction system, crop yield statistics, leveraging advanced machine learning techniques to promote sustainable agricultural practices and enhance global food security.

Predictive Analysis of Network based Attacks by Hybrid Machine Learning Algorithms

5,500.00
To enhance DDoS attack detection by implementing a machine learning system with hyper-parameter optimization and advanced prediction techniques

Smart Electricity Meter Monitoring and Prediction using iSocket

10,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Aim of the project is to build a smart home automation system to control home appliances, monitor the