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Music Recommendation system
The music recommendation system we developed is to enhance the user's listening experience by providing tailored music suggestions. It operates by analyzing the user's music choices and recommending similar tracks that align with their preferences. Key features of the system are Personalization, Contextual Awareness, Adaptive Learning,Diverse Music Catalog Overall, the goal is to create an engaging, personalized music discovery experience that resonates with the user's individual taste and context.
Secure Crypto Biometric System For Cloud Computing
Cloud computing has grown a lot and offers various services, but people worry a lot about keeping things safe. Security issues make some folks hesitant to use cloud systems, despite the benefits. Biometric tech, like fingerprints or eye scans, helps with identifying and verifying people securely. But in cloud setups, handling this biometric data can be tricky due to privacy rules and trusting the cloud companies.
To fix this, we suggest using a crypto-biometric system for cloud computing. Here, we keep your personal biometric info private. Instead of sharing the actual data, we use a mix of cryptography and biometrics to make sure your data stays safe and hidden. This way, exposing your private biometric details is unnecessary, making it more secure.