Showing 37–48 of 48 results

Medical Chatbot

5,500.00
Aim:          To create a chatbot that predicts medical conditions from images and provides disease-specific information, treatment options, and patient

Obfuscated Privacy Malware Classification Using Machine Learning and Deep Learning Techniques

5,500.00
Aim The aim of this research is to develop an intelligent system capable of detecting and classifying obfuscated privacy malware into various categories and families. This system leverages machine learning and deep learning models trained on the CIC-MalMem-2022 dataset to improve accuracy and address the challenges posed by data imbalance and complex malware behaviour.

Online Exam Proctoring System Based on Artificial Intelligence

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

Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches

5,500.00
Aim: To propose an advanced fraud detection system for online job postings by utilizing a transformer-based machine learning model, BERT, to enhance the detection of fraudulent job listings and improve the security of online recruitment platforms.

Plant Disease Detection and Classification by Deep Learning: A Review

5,500.00
Aim:            To detect the plant leaf diseases using convolutional neural network for high accuracy detection. Synopsis:            Identification of

Recognition of Fish in Aqua Cage by Machine Learning with Image Enhancement

5,500.00
Aim: The aim of this project is to propose a system to automate the process of fish population monitoring in aquaculture environments by utilizing the YOLOv8 deep learning-based object detection model, combined with image enhancement techniques.

Sign Explainer An Explainable AI Enabled Framework for Sign Language Recognition With Ensemble Learning

5,500.00
Aim:          To enhance the accuracy, robustness and interpretability of sign language recognition system Synopsis:          Sign Language recognition is

Silent Alert: Advancing Women’s Security through Smart Sign Recognition and AI

5,500.00
Aim: To develop a real-time video-level-sign classification system that identifies rescue and emergency hand signs using BiLSTM, enabling automated alert messages to guardians via Twilio SMS.

Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms

5,500.00
Aim:           We proposed detecting Sleep Apnea Detection From Single-Lead ECG. The advancement of smart wearables technologies has provided a

Toward Fast and Accurate Violence Detection for Automated Video Surveillance Applications

5,500.00
Aim:           To detect and identify the Violation detection using Deep-Learning techniques. Abstract:         The widespread deployment of surveillance cameras,

Traffic Signs Recognition using CNN and Keras

5,500.00
Aim:            To detect and identify the Traffic Signs detection using CNN.  Abstract:          Traffic sign recognition and detection are

Whale and Dolphin Classification

5,500.00
The proposed method involves a multi-step process to classify whale and dolphin species from images. First, the dataset is collected and pre-processed to ensure high-quality input data. The VGG16 model is used to extract features from the images, capturing complex patterns and details. These features are then used to train a Support Vector Machine (SVM) model, which excels in binary and multi-class classification tasks.