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 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.

 

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

BGL-PhishNet: Phishing Website Detection Using Hybrid Model-BERT, GNN, and LightGBM

5,500.00
Aim: This study aims to develop an efficient and scalable system for multi-class classification of URLs into Phishing, Benign, Defacement, and Malware categories using the lightweight and context-aware DistilBERT model.

Credit Scoring Prediction Using Deep Learning Models in the Financial Sector

5,500.00
Aim To develop an improved credit-scoring and text-classification model by combining Bi-LSTM, advanced transformer architectures, and ensemble machine-learning methods for superior accuracy, robustness, and fairness when compared with existing hybrid systems.

Crop Yield Prediction Using Random Forest Algorithm

5,500.00
Aim: Predict the crop type and price of the crop using machine learning methodology with accurate results.

Early Detection of Childhood Malnutrition using Survey Data and Machine Learning Approaches

5,500.00

Aim: To develop a predictive model for early detection of childhood malnutrition using survey-based health and nutrition data, and to compare the performance of ensemble and classical machine learning algorithms.

Efficient Machine Learning Approach for Crime Detection in India

5,500.00

Aim:

Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  To develop an efficient machine learning-based system for detecting and predicting criminal activities in India by analyzing historical crime data, with the goal of supporting law enforcement agencies in proactive decision-making and resource allocation.

Efficient Machine Learning Models for Solar Radiation Prediction Using Ensemble Techniques: A Case Study in Low-Rainfall Arid Climates

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  To develop an efficient machine learning-based system for detecting and predicting criminal activities in India by analyzing historical crime data, with the goal of supporting law enforcement agencies in proactive decision-making and resource allocation.

 

Face Detection and Recognition for Criminal Identification System

5,500.00
Aim: Ā Ā Ā Ā Ā  To detect and recognize the face and we can differentiate between citizen and criminals and further investigate whether

Human Activity Recognition Through Ensemble Learning of Multiple Convolutional Neural Networks

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  This paper aim to classify the different types of videos using deep learning framework with convolution neural network