BSFR-SH: Blockchain-Enabled Security Framework against Ransomware Attacks for Smart Healthcare

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  Our study aims to introduce a Blockchain-Enabled Security Framework against Ransomware Attacks using Machine Learning to ensure high

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.

Car Black Box System for Accident Analysis using IoT

8,900.00
AIM: Ā Ā Ā Ā Ā Ā  The mainstay of the project is to develop a Black Box technology project is to enhance road safety

Chaotic Image Encryption Using Piecewise Logistic Sine Map

5,500.00
Aim:             To analyze the Arnold cat map and demonstrating its effectiveness in the image encryption. Synopsis:             With the

Checking Only When It Is Necessary: Enabling Integrity Auditing Based on the Keyword with Sensitive Information Privacy for Encrypted Cloud Data

5,500.00
Aim Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  The main aim of this project is to provide a reliable and secure cloud service and also increase

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 and Arduino based Stress Level Detection System

Call for Price

Aim:

Ā Ā Ā Ā Ā Ā Ā Ā Ā  The aim of this project is to develop an interactive mobile application utilizing on device machine learning and Internet of Things for efficient control of household electronic devices.

CNN Based Object Recognition and Tracking System to Assist Visually Impaired People

11,000.00
Aim: Ā Ā Ā Ā Ā Ā Ā  The Main Objective of the project is blind people cannot see objects in their surroundings, it would be

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.

Coding-Based Low-Power Through-Silicon-Via Redundancy Schemes for Heterogeneous 3-D SoCs

4,000.00
Synopsis Ā Ā Ā Ā Ā Ā Ā Ā Ā  Three dimensional integration is one of the promising solutions to check the bare 3D integrated circuits before utilizing

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.