E-commerce Products Image Classification using EfficientNetB5 with Transfer Learning

5,500.00
The primary aim of this project is to develop a deep learning model for accurate product image classification in e-commerce platforms using the ResNetV2 architecture.

Edge Fire Smoke A novel lightweight cnn model for Real Time video Fire smoke Detection

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā  The aim of this study is to address the escalating issue of wildfires on a global scale, particularly

Efficient Classification Of Diabetic Retinopathy Using Binary Cnn

5,500.00
Aim: To detect the diabetic retinopathy disease in the earlier stage using Deep learning method Synopsis: Ā Ā Ā Ā Ā Ā Ā Ā  Diabetic Retinopathy is

Efficient Machine Learning Approach For Crime Detection In India

5,500.00
The goal of this project is to create a reliable model for predicting droughts in regions that are vulnerable to them. Using Indian rainfall data, the project applies ARIMA and SARIMAX models to forecast droughts. The project aims to support better planning and response strategies, helping communities prepare for and mitigate the effects of droughts.

Emoji, Sentiment and Emotion Aided Cyberbullying Detection in Hinglish

5,500.00
Aim: Ā  Ā Ā Ā Ā  Cyber bulling is described as the serious, intentional, and repetitive acts of a person’s cruelty toward others

Enhancing Smishing Detection A Deep Learning Approach for Improved Accuracy and Reduced False Positives

5,500.00
The aim of this work is to explore and develop advanced methods for enhancing the detection and prevention of smishing attacks. This involves utilizing cutting-edge technologies such as machine learning, artificial intelligence, and behavioral analysis to identify and block fraudulent SMS messages, protecting users from financial and personal data theft. The goal is to create more effective, real-time detection systems to mitigate the growing threat of smishing attack

Evasion Attacks and Defense Mechanisms for Machine Learning-Based Web Phishing Classifiers

5,500.00
The aim of this research is to develop an advanced phishing detection system that leverages a hybrid machine learning approach to analyse URLs effectively and accurately identify potential phishing attempts.

Evolving Malware and DDoS Attacks: Decadal Longitudinal Study

5,500.00
Aim: To enhance DDoS attack detection by implementing a machine learning system with hyperparameter optimization and advanced prediction techniques, utilizing the CICIDS dataset to achieve high classification accuracy and improve network security.

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

Facemask Wearing Alert System Based on Simple Architecture With Low-Computing Devices

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To apply the Deep Learning techniques based on convolution neural network improving the face mask detector accuracy. Synopsis:

Facial Expression Recognition in the Wild Using Face Graph and Attention

5,500.00
Aim: Ā Ā Ā Ā Ā  The aim of this study is to develop a robust facial expression recognition system capable of accurately detecting

Facilitating Leucocyte Count Using Deep Learning A Paradigm Shift

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  The aim of this paper is to develop an automatic white blood cell classification system using deep learning