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Cultural Fit Assessment Against Predefined Values, Attributes, and BeliefsThe project aims to develop an AI-driven tool that analyzes a large body of text to assess the cultural fit against predefined organizational values, attributes, and beliefs. By leveraging natural language processing (NLP) and sentiment analysis, the system will evaluate the alignment of perspectives and communication styles with the desired cultural traits. This project will leverage NLP and… |
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Sentiment Analysis: Gauging Confidence and Engagement of UsersThe project aims to develop a system that analyzes users' voice tone and word choice to assess their confidence and engagement levels during interactions. The system will provide real-time insights and feedback, making it applicable in various domains such as customer service, education, and personal development. This project will leverage voice processing, NLP and machine learning models… |
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Multi-Language Support in Voice-to-Text ConversionThe rise of digital content in local languages presents both opportunities and challenges. While there is a wealth of information available, users often struggle to consume it efficiently. This project will leverage generative AI to create a voice to text tool that enables seamless conversion across multiple languages. Key activities will include: • Language Detection: Automatically identify the… |
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Summarization of Content in Local Languages using Generative AIThe rise of digital content in local languages presents both opportunities and challenges. While there is a wealth of information available, users often struggle to consume it efficiently. This project will leverage generative AI to create a summarization tool that condenses lengthy texts into concise summaries, making information more accessible to speakers of local languages. Key activities… |
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Gen AI - Multi Model Testing Project, Ethics, MoralityCreate frameworks that evaluates generative AI models against moral principles, benchmarking their adherence to ethical guidelines. Tests multiple generative AI models for ethical decision-making, comparing their outputs for bias, fairness, and moral alignment. |
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