A System Design With Deep Learning and IoT to Ensure Education Continuity for Post-COVID

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Ensure education continuity for post-covid it used to make a attendance for a student with face detection and

ATT Squeeze U-Net A Lightweight Network for Forest Fire Detection and Recognition

5,500.00
Aim: To efficient CNN based system for fire detection in videos captured in uncertain surveillance scenarios

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.

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.

Comparative Analysis of Vehicle-Based and Driver-Based Features for Driver Drowsiness Monitoring by Support Vector Machines

5,500.00
Aim: Ā Ā Ā Ā Ā  This paper aim to detect Driver Drowsiness Detection by using support Vector Machines. Abstract: Ā Ā Ā Ā  Driver drowsiness is

Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  The main aim is to detect fraudulent transactions using credit cards with the help of ML algorithms and

LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model

5,500.00
Aim:Ā  To create a robust and accurate diagnostic tool employing Convolutional Neural Networks (CNNs) for the analysis of CT scan

Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application

5,500.00
Aim:Ā  To develop an Android application for detecting diseases in mulberry leaves using deep learning and provide actionable insights like weather data analysis and fertilization recommendations.

Online Exam Proctoring System Based on Artificial Intelligence

5,500.00
Aim:Ā  Achieving exam integrity through an AI-driven Smart Proctoring System for vigilant monitoring and prevention of malpractices in online assessments.

Road Traffic Accident Risk Prediction and Key Factor Identification Framework Based on Explainable Deep Learning

5,500.00
Aim: The aim of this study is to develop a robust and accurate traffic accident risk prediction model by leveraging deep learning techniques such as CNN (Convolutional Neural Network), BiLSTM (Bi-directional Long Short-Term Memory), and GRU (Gated Recurrent Unit) models.