Recommandation and Audio projects
Utilizing historical data to forecast future trends and outcomes for informed decision-making
001/006
Movie Recommendation System
Leveraging collaborative filtering and content-based methods to suggest movies based on user preferences.
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002/006
Product Recommendation Engine
Developed a recommendation engine for e-commerce that personalizes product suggestions for users.
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003/006
Music Recommendation System
Utilizing user listening history and song features to recommend personalized music tracks.
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004/006
Speech Emotion Recognition
Developed a model to classify emotions in speech recordings using audio features and machine learning.
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005/006
Audio Genre Classification
Implemented a model to classify different music genres from audio signals using deep learning techniques.
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006/006
Speech-to-Text Transcription
Created a system to convert spoken language into text with high accuracy using state-of-the-art speech recognition technologies.
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