International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | COMPANIO: A Proactive Bidirectional AI |
|---|---|
| ABSTRACT | Companio is a proactive AI-based emotional support system developed to address loneliness and mental health challenges among students. Unlike conventional chatbots that rely on user-initiated interaction, Companio actively engages users by analyzing behavioral patterns, emotional cues, and interaction timing to determine when support may be needed. The system leverages pattern recognition and conversational intelligence to initiate context-aware check-ins, fostering a bidirectional and human-like relationship. Key functionalities such as mood tracking, conversational memory, and personalized interactions enable Companio to adapt to individual users over time, creating a sense of companionship and trust. The project aims to provide accessible, non-judgmental emotional support for students who may feel reluctant or uncomfortable sharing personal struggles with family or peers, thereby promoting emotional well-being and early mental health intervention. |
| AUTHOR | ANIKET PRAJAPATI, AKRITI NEMA, ANJALI SINHA, SONAL CHAUDHARY Undergraduate Students, Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning), Oriental Institute of Science and Technology, Bhopal, India Project Guide, Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning), Oriental Institute of Science and Technology, Bhopal, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401060 |
| pdf/60_COMPANIO A Proactive Bidirectional AI.pdf | |
| KEYWORDS | |
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