Machine Learning Projects
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EmoDLive
EmoDLive is a web application that utilizes deep learning techniques to recognize the emotions of humans through both facial and voice recognition features. The application contains an API that can be used to integrate this technology into other projects.
Once the emotions are recognized, the application provides a variety of media such as songs, videos, news, jokes, and quotes that match the user's current mood, which can help them relax. Additionally, the application can determine the gender of the user through voice recognition.
EmoDLive leverages a convolutional neural network (CNN) algorithm to perform emotion recognition. CNNs are particularly well-suited for image and video recognition tasks and have been shown to be effective in identifying emotions from facial expressions. Overall, EmoDLive is an innovative and practical application that can improve the user experience by providing personalized content based on their emotions.
LinkGuard
LinkGuard is a powerful web application designed to detect whether a given URL is suspicious or not. It is equipped with two advanced trained models, namely logistic regression and random forest, which analyze the URL and provide an accurate assessment of its authenticity. In addition to these models, LinkGuard also verifies the URL through the VirusTotal API, ensuring that the URL has not been flagged as suspicious by any other antivirus engines.
LinkGuard not only helps to identify suspicious URLs but also provides valuable information about malware and phishing attacks, as well as tips on how to prevent them. The application offers a prevention web page that contains in-depth details of the URL, including its history, content, and metadata. By using LinkGuard, users can easily protect themselves from online threats and stay safe while browsing the internet.