Child Attention Detection Through Facial Expression Recognition is an innovative approach that leverages computer vision and artificial intelligence to monitor and analyze a child's facial expressions to assess their attention levels. This technology has the potential to revolutionize education, healthcare, and child development by providing insights into engagement and cognitive focus. 

A Smart Dustbin is an intelligent waste management system designed to automate and optimize garbage collection and disposal. It integrates sensors, IoT (Internet of Things), and smart technology to improve waste segregation, monitor fill levels, and enhance sanitation practices. 

Fake News Classification on Social Media is an essential application of Natural Language Processing (NLP) and Machine Learning (ML) to identify and flag misleading or false information. The goal is to ensure the credibility of online content, reduce misinformation, and improve user trust in social media platforms. 

A Water Level Indicator System is a device used to measure and indicate the level of water in tanks, reservoirs, or other storage systems. These devices are essential in homes, industries, and agriculture for efficient water management and prevention of wastage. 

Movies Reviews Sentiment Analysis and Classification is a natural language processing (NLP) application that involves analyzing text reviews of movies to determine their sentiment (e.g., positive, negative, or neutral) and classifying them accordingly. This process provides valuable insights into audience perceptions and is widely used in recommendation systems, marketing, and trend analysis. 

Home Automation System refers to the use of technology to control and automate various systems and devices in a home, enhancing convenience, security, and energy efficiency. Through smart devices and sensors, users can remotely or automatically manage appliances, lighting, heating, security systems, and more. 

Phishing is a cyberattack technique where malicious actors trick users into divulging sensitive information such as passwords, credit card numbers, or personal identification details. These attacks often involve fraudulent websites that mimic legitimate ones. Detecting such phishing websites is a crucial aspect of cybersecurity. Machine learning (ML) provides a robust and automated approach to tackle this challenge by analyzing patterns, behaviors, and features of websites to classify them as phishing or legitimate. 

Tourist Place Reviews Sentiment Classification involves analyzing reviews of tourist destinations to determine their sentiment (e.g., positive, negative, or neutral). This application is useful for understanding visitor feedback, improving services, and recommending destinations to potential tourists. 

Subjective Answer Evaluation System is a system designed to assess and grade subjective or open-ended responses written by students or candidates. Unlike objective assessments, subjective answers often involve opinions, interpretations, or explanations, making automated evaluation more complex. This system leverages Natural Language Processing (NLP) and Machine Learning (ML) techniques to evaluate answers based on predefined criteria such as relevance, grammar, coherence, and content accuracy.