Context Aware Machine Learning in Fitnes Domian

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dc.contributor.authorBADACHE, IYAD
dc.contributor.authorKHANGAOUI ,Aymen
dc.contributor.authorNABET AICHA
dc.date.accessioned2024-04-14T08:14:36Z
dc.date.available2024-04-14T08:14:36Z
dc.date.issued2023
dc.description.abstractHarnessing the power of Artificial Intelligence (AI) andMachineLearning(ML),this study delves into thedevelopmentandfunctionalityofNitroAI,adynamicapplication designed to revolutionize the personal fitness landscape. NitroAI employs context-aware technologies to present a tailored health and fitness experience, responding to variables such as user profile, location, fitness goals, and personal schedules. From comprehending the contemporary healthcare scenario to analyzing AI, ML and context-aware ML through existing literature, we dissect theconceptualandtechnical aspects of NitroAI. This exploration includes intricate details of the ML models,data processing strategies, algorithms, and the architecture of customization. With this comprehensive study, we aim toshedlightonthefusionMLandcontextawarenessin shaping personalized health and fitness experiences, using NitroAI as our primary subjectofstudy.
dc.identifier.urihttp://dspace.univ-skikda.dz:4000/handle/123456789/835
dc.language.isofr
dc.publisherFaculty of sciences
dc.titleContext Aware Machine Learning in Fitnes Domian
dc.title.alternativeAdvanced computer systems and application - ACSA
dc.typeMaster's degree Thesis
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