Showing 85–95 of 95 results

Sentiment Analysis and Emotion Detection on Crypto currency Related Tweets Using GPT2 Model

5,500.00
Aim:         The aim of this study is to enhance emotion analysis in the cryptocurrency market using a GPT-2 model,

Sentiment Analysis and Emotion Detection on Cryptocurrency Related Tweets Using Ensemble LSTM-GRU Model

5,500.00
Aim:           The sentiment analysis for crypto currency-related tweets, Crypto currency market price prediction based on the analyzed sentiments with

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

Smart Attendance Monitoring System Using Face Recognition for People with Disabilities

5,500.00
Aim:         The aim of the project is to develop an automated, real-time attendance system using face recognition technology to enhance accuracy, eliminate manual errors, and streamline attendance tracking in institutions.

The Effect of Fake Reviews on e-Commerce during and After Covid-19 Pandemic: SKL-Based Fake Reviews Detection

5,500.00
Aim:           To detect SKL-Based fake reviews on e-Commerce with using couples of machine learning algorithm based on sentiment analysis.

Time Series Forecasting and Modeling of Food Demand Supply Chain Based on Regressors Analysis

5,500.00
Aim:        To Develop a methodology that combines the robustness of ARIMA and SARIMA models with the explanatory power of

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

Twitter Spam Detection Using Natural Language Processing by Encoder Decoder Model

5,500.00
Aim:           To enhance the assigning accuracy of former methods in spam detection in Twitter using advanced methods. Synopsis:          

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.