Movie Recommendation using Machine learning Movie Recommendation using Machine learning and collaborative filtering techniques is implemented in Python Python demo
Introduction: As a final year student, choosing a compelling and impactful project is crucial for showcasing your skills and knowledge. Liver disease prediction with 99% accuracy is good to choose, an area of growing significance in the healthcare field, offers Read more
Snakebite envenomation is a pressing global health issue, causing numerous fatalities and disabilities each year. Prompt identification of venomous snakes is crucial for appropriate medical intervention. Traditional venom classification methods are time-consuming and invasive, highlighting the need for efficient and non-invasive approaches. Convolutional Neural Networks (CNNs), known for their image classification prowess, offer a promising solution. By training a CNN model on a diverse dataset of snake images, this study aims to develop a robust venom classification system. Such a system could revolutionize snakebite management, improving clinical outcomes and aiding in species conservation. The implementation of CNN-based venom classification has the potential to save lives, enhance healthcare decision-making, and protect endangered snake species.
This project is developed on Python programming with Machine Learning algorithm, K-Nearest Neighbor (KNN) algorithm The project used Audio pre-processing with MFCC technique to extract feature. ML is used to train and detect the infant cry type. There are five Read more
Landslide is one of the repeated geological hazards during rainy season, which causes fatalities, damage to property and economic losses in all parts of the world. Landslides are responsible for at least 17% of all fatalities from natural hazards worldwide. Read more
Stock price prediction has long been a challenging problem in the financial industry, with researchers and practitioners continuously seeking more accurate and robust methods. This study explores the application of hyperparameter-tuned machine learning (ML) models for stock price prediction. Leveraging Read more
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