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.
To develop a real-time fire and smoke detection system using the latest YOLOv11 model, providing higher accuracy and faster response in complex environments.
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.
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.
Aim:
The aim of this project is to develop a flight delay prediction system that uses a decision tree algorithm to predict delays based on historical data while providing real-time flight tracking and delay updates using Neo4j and live APIs.
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā The sentiment analysis for crypto currency-related tweets, Crypto currency market price prediction based on the analyzed sentiments with
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.
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā We proposed detecting Sleep Apnea Detection From Single-Lead ECG. The advancement of smart wearables technologies has provided a
Aim:Ā Ā Ā Ā Ā Ā Ā 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.
Aim:
To propose an approach that improves the accuracy and efficiency of cyberbullying detection in social media text by utilizing an advanced model that aims to overcome ambiguity and classification challenges.