Show sidebar
Show 9 12 18 24
Compare

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.
Add to wishlist
Add to cart
Quick view
Compare

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.
Add to wishlist
Add to cart
Quick view
Placeholder
Compare

Selection of Best Machine Learning Model to Predict Delay in Passenger Airlines

, , , ,
₹5,500.00
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.
Add to wishlist
Add to cart
Quick view
Compare

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.
Add to wishlist
Add to cart
Quick view
Compare

Toward Improving Breast Cancer Classification Using an Adaptive Voting Ensemble Learning Algorithm

, , , ,
₹5,500.00
Aim: The primary aim of this study is to develop a robust and accurate auxiliary diagnostic system for breast cancer by integrating machine learning techniques with a hybrid strategy.
Add to wishlist
Add to cart
Quick view