Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations

Year : 2026 | Volume : 13 | Issue : 01 | Page : 18 25
    By

    Monika Nagar,

  • Bhanu Verma,

  • Nensi Varshney,

  • Prince Kumar,

  • Shivang Rastogi,

  • Vivek Chaudhary,

  1. Assistant Professor, Department of Computer Science, IMS Engineering College, Ghaziabad, Uttar Pradesh, India
  2. Student, Department of Computer Science, IMS Engineering College, Ghaziabad, Uttar Pradesh, India
  3. Student, Department of Computer Science, IMS Engineering College, Ghaziabad, Uttar Pradesh, India
  4. Student, Department of Computer Science, IMS Engineering College, Ghaziabad, Uttar Pradesh, India
  5. Student, Department of Computer Science, IMS Engineering College, Ghaziabad, Uttar Pradesh, India
  6. Student, Department of Computer Science, IMS Engineering College, Ghaziabad, Uttar Pradesh, India

Abstract

Aura Pulse is a cutting-edge AI-powered platform developed to provide real-time emotional support, tackling the growing challenges of stress, anxiety, and burnout in today’s fast-moving digital era. Utilizing advanced facial expression analysis, Aura Pulse interprets visual cues to create a comprehensive emotional profile of the user. This instant emotional evaluation enables the platform to deliver personalized suggestions aligned with the user’s mood and mental state, promoting overall well- being and emotional awareness. One of the core features of Aura Pulse is music-based therapy, which suggests mood-specific music to uplift spirits, reduce stress, and create a calming atmosphere. Additionally, it offers comprehensive health tips, including mindfulness exercises, meditation techniques, and self-care strategies that promote mental resilience. The real-time analysis feature ensures continuous monitoring of emotional states, dynamically adapting its recommendations based on the user’s shifting moods. This makes it an intelligent and responsive companion for mental health management. To maximize accessibility, Aura Pulse is designed for cross-platform compatibility, ensuring seamless use across web, mobile, and wearable devices. Whether a user is at home, at work, or on the go, they can access their emotional insights and receive tailored recommendations with ease. The platform also provides data-driven insights, tracking emotional trends and patterns over days, weeks, and months. This empowers users with valuable information about their emotional well-being, enabling them to identify triggers and take proactive steps toward mental health management. Integration with third-party apps, such as Spotify, Apple Health, and mental health resources, ensures a holistic and enriching experience. Through these integrations, users can seamlessly connect their emotional well-being with their daily routines, making mental health management more effortless and intuitive. Beyond these features, Aura Pulse also incorporates stress management tools, such as interactive breathing exercises and guided meditation sessions, to help users regain a sense of calm and balance. The emotion tracking dashboard visually represents fluctuations in emotional states, helping users understand their emotional patterns over time. This feature fosters self-awareness and encourages users to take informed steps toward improving their mental health. To cultivate a supportive and interactive space, Aura Pulse features a community engagement platform where users can share their experiences, seek guidance, and connect with others facing similar challenges. This sense of belonging promotes empathy, mutual understanding, and collective well-being, ensuring that emotional support remains both accessible and tailored to individual needs.

Keywords: AI-driven platform, music-based therapy, stress management, emotion tracking

[This article belongs to Journal of Advancements in Robotics ]

How to cite this article:
Monika Nagar, Bhanu Verma, Nensi Varshney, Prince Kumar, Shivang Rastogi, Vivek Chaudhary. Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations. Journal of Advancements in Robotics. 2026; 13(01):18-25.
How to cite this URL:
Monika Nagar, Bhanu Verma, Nensi Varshney, Prince Kumar, Shivang Rastogi, Vivek Chaudhary. Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations. Journal of Advancements in Robotics. 2026; 13(01):18-25. Available from: https://journals.stmjournals.com/joarb/article=2026/view=237854


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Regular Issue Subscription Original Research
Volume 13
Issue 01
Received 08/09/2025
Accepted 10/09/2025
Published 06/03/2026
Publication Time 179 Days
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