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Low-Cost CNN for Automatic Violence Recognition on Embedded System
Aim: The main aim of the project is to auto detect any violence action in public place and send alert notification in IoT. We use deep learning and embedded to implement. Abstract: Due to the increasing number of vio..
Machine Learning Based Heart Disease Prediction System
Aim: To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Abstract: In human life, healthcare is an unavoidable and important task to be done. Cardiovascul..
Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data using GPT
Aim: The aim of this research is to improve the accuracy and contextual understanding of sentiment analysis in COVID-19-related tweets by combining the rule-based approach of TextBlob with the deep learning capabilities of GPT-2.Abstract: The preva..
Measuring the Heart Attack Possibility using Different Types of Machine Learning Algorithms
Aim: To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Abstract: Heart disease is one of the most significant problem is arising in the world today. Cardi..
Prediction of Flood in Bangladesh using k-Nearest Neighbors Algorithm
Aim: Analyze the flood data from database for flood prediction.Abstract: ..
Prediction of Modernized Loan Approval System Based on Machine learning Approach
Aim: To determine the loan approval system using machine learning algorithms.Abstract: Loan approval is a very important process for banking organizations. The systems approved or reject the loan applications. Recovery of loans is a major contributing parameter in the financial statements..
Predictive Analytics on Diabetes Data using Machine Learning Techniques
Aim: To help doctors and practitioners in early prediction of diabetes using machine learning techniques.Abstract: Diabetes caused due to increase in amount of sugar or glucose which is condensed into the blood Identifying process of diabetes is the glucose an..
Raspberry Pi Based Driver Drowsiness Detection System Using CNN
Aim: The aim of the project is will develop the Internet of Things (IoT) and deep Learning in the field of Road Safety and accident prevention. Abstract Thi..
Sentiment Analysis and Emotion Detection on Crypto currency Related Tweets Using GPT2 Model
Aim: The aim of this study is to enhance emotion analysis in the cryptocurrency market using a GPT-2 model, providing a nuanced understanding of public perceptions towards cryptocurrency transactions. This proposed system leverages the capabilities of GPT-2 to predict positive, negative, or neutral emotions..
Smart Electricity Meter Monitoring and Prediction using iSocket
Aim: Aim of the project is to build a smart home automation system to control home appliances, monitor the power consumed by the appliances and predict the power consumption using machine learning algorithm.Synopsis: In order to implement the..
The Effect of Fake Reviews on e-Commerce during and After Covid-19 Pandemic: SKL-Based Fake Reviews Detection
Aim: To detect SKL-Based fake reviews on e-Commerce with using couples of machine learning algorithm based on sentiment analysis.Abstract: The outbreak of Covid-19 and the enforcement of lockdown, social distancing, and other precautio..
Time Series Analysis based Tamilnadu Monsoon Rainfall Prediction using Seasonal ARIMA
Aim: Analyze the rain fall data from database for rain prediction.Abstract: &nbs..
Top-k Dominating Queries on Skyline Groups
Aim The main aim of this paper is to study the problem of secure skyline queries over encrypted data. The skyline query is particularly important for multi-criteria decision making but also presents significant challenges due to its complex computations. Synopsis &n..
Twitter Spam Detection Using Natural Language Processing by Encoder Decoder Model
Aim: To enhance the assigning accuracy of former methods in spam detection in Twitter using advanced methods.Synopsis: Social networking sites have become very popular in recent years. Users use them to find new frie..