Big Data Analyzing Techniques in Mathematical House Price Prediction Model

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  To design and develop machine learning algorithm to predict house price

Blockchain and AI-Empowered Healthcare Insurance Fraud Detection: An Analysis, Architecture, and Future Prospects

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  The main aim of this project is to detect Healthcare Insurance Fraud and eliminate using blockchain and machine

BMNet-5: A Novel Approach of Neural Network to Classify the Genre of Bengali Music Based on Audio Features

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  The proposed BMNet-5 is based on a neural network designed to predict music genre from audio inputs Abstract:

Brain Tumor Detection and Classification Using Intelligence Techniques An Overview

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā  To detect and identify the Brain Tumor using Deep-Learning techniques Abstract: Ā Ā Ā Ā Ā Ā  Brain is the controlling unit of

Brain Tumor Identification and Classification of MRI images using deep learning techniques

5,500.00
Aim: To detect and identify the Brain Tumor using Deep-Learning techniques Ā Abstract: Brain is the controlling unit of human body.

Canine Skin Disease Classification Using Convolutional Neural Networks (CNN)

5,500.00
Aim: To develop a custom Convolutional Neural Network (CNN) model for accurately classifying seven common canine skin diseases, thereby improving diagnostic precision and supporting veterinary care.

Classifying Swahili Smishing Attacks for Mobile Money Users: A Machine-Learning Approach

5,500.00
Aim: Ā Ā  Predict the Swahili smishing attack. Mobile money platform evolution could be attributed to the bureaucracy of owning a

Clinically Applicable Machine Learning Approaches to Identify Attributes of Chronic Kidney Disease (CKD) for Use in Low-Cost Diagnostic Screening

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To apply machine learning techniques result in improving the accuracy in the prediction of Chronic Kidney Disease. Abstract:

CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection

5,500.00
To develop an efficient image forgery detection system using deep learning, leveraging transfer learning models such as ConvNeXt and ResNet to enhance accuracy. The project focuses on designing a robust system that can detect forged images with high precision and recall.

Coffee Bean Defects Automatic Classification Realtime Application Adopting Deep Learning

5,500.00
Aim: The aim of this project is to propose an efficient, real-time system for automatic classification of coffee bean defects using the YOLOv8 deep learning model.

Comparative Analysis of Customer Loan Approval Prediction using Machine Learning Algorithms

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