Engineering Computer Science

Predicting Student Academic Performance using Machine Learning

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Abstract: This project focuses on predicting students’ academic performance by analyzing historical academic data and behavioral patterns. By leveraging machine learning techniques, the system forecasts grades or classifies students into performance categories such as high, medium, or low. The project assists educators in identifying students who may require additional support, enabling early interventions to enhance … Read more

Computer Science Engineering Project-Exploring E-Commerce Product Experience Based on the Fusion Sentiment Analysis Method

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This project focuses on analyzing customer reviews from e-commerce platforms by utilizing a fusion of sentiment analysis techniques. It integrates lexicon-based methods with machine learning classifiers and topic modeling to enhance the accuracy and depth of sentiment detection. The approach aims to extract meaningful insights into product experiences, enabling businesses to refine their offerings and … Read more

Machine Learning Based Rainfall Prediction

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Abstract Introduction Objectives Methodology Expected Results Applications Agriculture : Assists farmers in choosing suitable crops, planning irrigation schedules, and managing pest control effectively. Disaster Management: Enables early warning systems for floods and droughts to reduce risks and damages. Water Resource Management: Facilitates efficient water allocation for reservoirs, irrigation, and hydroelectric power generation. Urban Planning: Supports … Read more

Internet Financial Fraud Detection Using a Distributed Big Data Approach with Node2vec

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Abstract The rapid growth of online transactions,of financial fraud has become a significant threat. Traditional detection methods and struggle to process massive, rapidly evolving datasets. This project proposes a scalable and accurate fraud detection system using a distributed big data framework integrated with Node2vec, a graph-based machine learning technique that captures relational and structural information … Read more

Exploring Machine Learning Algorithms to Find the Best Features for Predicting Modes of Childbirth.

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Machine Learning Algorithms.The global rise in cesarean deliveries often performed out of precaution rather than medical necessity highlights the need for objective decision-making tools in obstetrics. This study explores the application of machine learning algorithms to predict the mode of childbirth, distinguishing between vaginal normal and cesarean deliveries. By analyzing maternal and fetal health data, … Read more

Shielded chat Encrypted communication-Computer Science Engineering project

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CHAPTER 1 INTRODUCTION 1.2 Objectives The objectives of the Shielded Chat project are as follows: 1.3 Scope of the Project The scope of Shielded Chat is to develop a web-based front-end messaging platform that encrypts and decrypts text messages using classical cipher techniques. The goal is to deliver a proof-of-concept application demonstrating how secure communication … Read more