Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/24795
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dc.contributor.advisorKapoor, Anuj-
dc.contributor.authorAayush-
dc.contributor.authorPanda, Swastik Sovan-
dc.date.accessioned2021-11-25T11:15:28Z-
dc.date.available2021-11-25T11:15:28Z-
dc.date.issued2020-
dc.identifier.urihttp://hdl.handle.net/11718/24795-
dc.description.abstractObjective The objective of the project is to find out how Choosy incorporates user feedback into its social media posts Scope 1. To extract features from images posted by Choosy’s social media accounts along with the user comments 2. To understand how these user comments influence the next post of Choosy Research Questions 1. What are the major parameters that are used by Choosy? 2. Which of these parameters solicit response from the consumers? 3. What is the typical lead time that Choosy takes to incorporate these feedback into the recommendation/ design engine? Methodology/analytical framework Programming language: Python Libraries (For Computer Vision): OpenCV, Kerala, TensorFlow, PyTorch Libraries (For Data analysis and visualization): Pandas, NumPy, Seaborn, MatPlotlib.en_US
dc.language.isoenen_US
dc.publisherIndian Institute of Management Ahmedabaden_US
dc.subjectChoosyen_US
dc.subjectAIen_US
dc.subjectFeedbacken_US
dc.titleLeveraging AI in garnering consumer feedback based on social media responseen_US
dc.typeStudent Projecten_US
Appears in Collections:Student Projects

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