A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders

5,500.00
Aim: To apply machine learning techniques result in improving the accuracy in the prediction of Autism Spectrum Disorder

A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  We proposed a complete systematic approach to detect DDOS attack using machine learning algorithm.

A Modular Ice Cream Factory Dataset on Anomalies in Sensors to Support Machine Learning Research in Manufacturing Systems

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  The aim of creating a modular ice cream factory dataset on anomalies in sensors to support machine learning

A Novel Dangerous Goods Detection Network Based on Multi-Layer Attention Mechanism in X-Ray Baggage Images

5,500.00

Aim

Ā  Ā  Ā  Ā  Ā To develop an improved dangerous goods detection system using YOLOv11 that achieves higher accuracy and real-time performance in identifying prohibited items in X-ray baggage images.

A Novel Integrated Approach for Stock Prediction Based on Modal Decomposition Technology and Machine Learning

5,500.00
To develop an enhanced stock price prediction model that leverages advanced deep learning techniques optimized feature engineering, and potentially external factors like sentiment analysis to achieve superior forecasting accuracy and robustness

A Pragmatic Approach of Heart and Liver Disease Prediction using Machine Learning Classifiers

5,500.00
Aim: To apply various machine learning algorithms to analyze medical data and predict the likelihood of heart and liver diseases, assisting healthcare professionals in making informed decisions for diagnosis and treatment.

A Web-Based Interface That Leverages Machine Learning to Assess an Individual’s Vulnerability to Brain Stroke

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā To develop an optimized machine-learning model using Random Forest to accurately classify brain stroke risk using clinical, demographic, and physiological data.

 

Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI

5,500.00
To develop a robust and explainable hybrid deep learning framework for detecting fake news by integrating advanced transformer-based models and explainable AI techniques, thereby enhancing classification accuracy, improving model generalization, and fostering transparency in decision-making

Agricultural Loan Recommender System – A Machine Learning Approach

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To determine the loan approval system using machine learning algorithms. Abstract: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Ā  Loan approval is a very

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.

Automated Smart Attendance System Using Face Recognition

5,500.00
Aim: Ā Ā Ā Ā  To detect and recognize the face using real time attendance system based on LBPH algorithm. Abstract: Ā Ā Ā Ā Ā  Face