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Anvi-AI Powered Conversational Agent for Emotion-Aware and Memory Rich Interactions in Telugu

Author(s) Dr. SriSudha Garugu, Mr. Naveen Bandari, Ms. Prasanna Burthula, Ms. Poojitha Bhushapaka
Country India
Abstract The rapid growth of mobile AI assistants has made it much easier for people to interact with computers. However, most current systems still have trouble adapting to different cultures, supporting regional languages, understanding context, and keeping privacy. This survey paper looks at the latest developments in smart mobile assistants, with a focus on speech recognition technologies, natural language understanding, emotion and context detection models, on-device AI frameworks, and systems that help with mental health. We look closely at popular technologies like Google Assistant, Siri, Alexa, and Bixby and recent research on transformer-based speech models, multimodal emotion recognition, and privacy-focused edge AI. The review points out some big problems with current solutions, such as poor performance in low-resource languages like Telugu, no personalized emotional intelligence, reliance on cloud processing, and a limited ability to understand the user's context or mental state. The survey also discusses problems like not having enough datasets, AI responses that aren't culturally sensitive, worries about data privacy, and mobile devices that don't learn on their own all the time. This survey highlights the necessity for a culturally adaptive, emotion-sensitive, and privacy-centric mobile assistant, exemplified by the proposed system, Anvi, which incorporates Telugu speech processing, contextual awareness, and on-device AI to enhance user well-being and provide personalized assistance.
Keywords Mobile AI Assistants, Speech Recognition, Natural Language Understanding (NLU), Telugu Language Processing, Low-Resource Languages, Emotion Recognition, Context Awareness, On-Device AI, Edge AI, Privacy-Preserving AI, Transformer-Based Models, Multimodal Learning, Mental Wellbeing Suppot, Human–Computer Interaction (HCI).
Field Engineering
Published In Volume 7, Issue 4, April 2026
Published On 2026-04-17
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