Call for Papers:Vol.12 Issue.3

Submission
Last date		 28-Jun-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  AN AI POWERED MENTAL HEATH AND WELLNESS COMPAION
PaperId: :  26512
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26512
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dr . Archana BVidya Vikas Institute of Engineering & Technology, Karnataka, India
Sweta ChauhanVidya Vikas Institute of Engineering & Technology, Karnataka, India
Ajith Kumar K Kavatekar Vidya Vikas Institute of Engineering & Technology, Karnataka, India
Chethan H S Vidya Vikas Institute of Engineering & Technology, Karnataka, India
Sahana J ShettyVidya Vikas Institute of Engineering & Technology, Karnataka, India

Abstract

Computer Science Engineering
Artificial Intelligence, Mental Health, Personalized Support, Chatbot Interface, Predictive Analytics
The AI-powered mental health and wellness companion is a personalized, intelligent support system designed to promote mental resilience and overall well-being. By integrating advanced technologies such as Natural Language Processing (NLP) and machine learning, the system offers continuous and tailored mental health support. Utilizing user inputs—including mood tracking, stress levels, and wellness assessments alongside insights from healthcare professionals, it delivers data-driven interventions customized to individual needs. The platform leverages powerful NLP models like BERT and GPT to understand user emotions and context, while machine learning algorithms such as the Random Forest Classifier predict mental and emotional health states with high accuracy. Based on these predictions, the system recommends personalized wellness strategies, including stress-reducing activities, mindfulness exercises, and positive lifestyle changes.A key feature is its intuitive chatbot interface, which provides real-time interaction, immediate mental health support, and regular progress tracking. Additionally, the integration of a voice assistant allows users to engage through natural speech, making the experience more accessible and hands-free especially beneficial for individuals with limited mobility or during high-stress situations. Privacy and data security are foundational to the platform, ensuring that user data remains confidential and protected. Early testing and user feedback have demonstrated a noticeable reduction in stress and improved emotional well-being, validating the effectiveness of the system. Designed for both individuals and healthcare professionals, this AI companion serves as a proactive mental wellness tool, offering timely interventions and continuous support in an increasingly stressful world.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Dr . Archana B, Sweta Chauhan, Ajith Kumar K Kavatekar , Chethan H S , and Sahana J Shetty. "AN AI POWERED MENTAL HEATH AND WELLNESS COMPAION" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 609-614
MLA Dr . Archana B, Sweta Chauhan, Ajith Kumar K Kavatekar , Chethan H S , and Sahana J Shetty. "AN AI POWERED MENTAL HEATH AND WELLNESS COMPAION." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 609-614.
APA Dr . Archana B, Sweta Chauhan, Ajith Kumar K Kavatekar , Chethan H S , & Sahana J Shetty. (2025). AN AI POWERED MENTAL HEATH AND WELLNESS COMPAION. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 609-614.
Chicago Dr . Archana B, Sweta Chauhan, Ajith Kumar K Kavatekar , Chethan H S , and Sahana J Shetty. "AN AI POWERED MENTAL HEATH AND WELLNESS COMPAION." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 609-614.
Oxford Dr . Archana B, Sweta Chauhan, Ajith Kumar K Kavatekar , Chethan H S , and Sahana J Shetty. 'AN AI POWERED MENTAL HEATH AND WELLNESS COMPAION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 609-614. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/AN_AI_POWERED_MENTAL_HEATH_AND_WELLNESS_COMPAION_ijariie26512.pdf (Accessed : ).
Harvard Dr . Archana B, Sweta Chauhan, Ajith Kumar K Kavatekar , Chethan H S , and Sahana J Shetty. (2025) 'AN AI POWERED MENTAL HEATH AND WELLNESS COMPAION', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 609-614IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/AN_AI_POWERED_MENTAL_HEATH_AND_WELLNESS_COMPAION_ijariie26512.pdf (Accessed : )
IEEE Dr . Archana B, Sweta Chauhan, Ajith Kumar K Kavatekar , Chethan H S , and Sahana J Shetty, "AN AI POWERED MENTAL HEATH AND WELLNESS COMPAION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 609-614, May-Jun 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/AN_AI_POWERED_MENTAL_HEATH_AND_WELLNESS_COMPAION_ijariie26512.pdf [Accessed : ].
Turabian Dr . Archana B, Sweta Chauhan, Ajith Kumar K Kavatekar , Chethan H S , and Sahana J Shetty. "AN AI POWERED MENTAL HEATH AND WELLNESS COMPAION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver Dr . Archana B, Sweta Chauhan, Ajith Kumar K Kavatekar , Chethan H S , and Sahana J Shetty. AN AI POWERED MENTAL HEATH AND WELLNESS COMPAION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 609-614. Available from: https://ijariie.com/AdminUploadPdf/AN_AI_POWERED_MENTAL_HEATH_AND_WELLNESS_COMPAION_ijariie26512.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Generating Text Conditioned 3D Human MotionComputer Science and EngineeringShilna Koyileriyan Download
Automated Seat Belt Detection Using Surveillance Cameras for Indian TrafficComputer EngineeringRENUKA T R Download
LITERATURE REVIEW OF PREDICTING DISEASE GENE ASSOCIATION Computer EngineeringNihala K P Download
WORD-LEVEL BLUR FOR REAL-TIME SCREEN ABUSE DETECTION: IMPLEMENTATION AND EVALUATIONcomputer Engineeringsohel sayyad Download
Heart Attack Risk Prediction Using Retinal Eye ImagesMachine LearningPrasanthi Siri Kuruma Download
Real Time Zero Knowledge Privacy & Ai Security for currency Transaction Using EthereumComputer EngineeringPANTHULA SAI MURALI Download
JANMITRA - AI POWERED PLATFORM BRIDGING SOCIETIES WITH NGO'S AND ORGANIZATIONScomputer engineeringUMESH AAGDE Download
Improvising Personalized Travel Recommendation System with Recency Effectscomputer science engineeringMrs. Fathima Zahera Download
Ensemble Models and Explainable AI for Malware DetectionComputer Science M Vandana Download
Smart E-Healthcare SystemComputer EngineeringVattikoti Sai Download
SURVEY ON RETAIL INSIGHT GENERATOR: VISION AI FOR CUSTOMER ANALYTICS AND HEATMAPSComputer EngineeringAmalkrishna K B Download
SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEMComputer science Athira Thomas Download
Consumer Behavioural Analysis Using Advanced Clustering TechniquesComputer Science and EngineeringSupriya Thati Download
A Low-Cost Smartphone-Based Sign Language Translator Using Computer Vision for Real-Time Deaf–Hearing CommunicationComputer Science and EngineeringHarsh Mishra Download
Predicting Stock Market Trends using Deep Learning TechniquesComputer Science and EngineeringAkruthi Shere Download
12