SINCAPY - A SEVERLESS THERAPHY CHATBOT
Abstract & Details
Research Area
Computer engineering
Keywords
Mental Health
Therapy Chatbot
AI Chatbot
Natural Language Processing (NLP)
Amazon Web Services (AWS)
Serverless Architecture
Emotional Support
Mental Health Accessibility
Cloud Computing
24/7 Support
Digital Therapy
Self-care Guidance
Scalable Solution
Cost-effective Mental Health Tool
Empathetic Conversations
AWS Lambda
Amazon S3
API Gateway
DynamoDB
Mental Health Resources.
Abstract
In today’s fast-paced and often overwhelming world, mental health challenges have become increasingly prevalent. Despite growing awareness, many individuals still struggle to access the support they need due to long wait times, high costs, social stigma, or a shortage of mental health professionals. This project introduces a Therapy Chatbot, designed to bridge the gap by offering accessible, private, and responsive mental health support through a serverless website hosted on Amazon Web Services (AWS).The chatbot utilizes advanced AI and natural language processing (NLP) to engage users in empathetic, meaningful conversations. It provides emotional support, self-care tips, and mental health resources, creating a safe space where users can express themselves freely—anytime, anywhere. By being available 24/7, it caters to individuals who may not feel comfortable seeking traditional therapy or are unable to do so due to various constraints.Built on AWS's serverless architecture, the platform is highly scalable and cost-effective. Services such as AWS Lambda, API Gateway, Amazon S3, and DynamoDB are integrated to ensure efficient performance and data security. The use of cloud technology not only enhances availability but also ensures that the system can handle varying user loads without incurring high operational costs.
This project demonstrates how technology can play a vital role in improving mental health accessibility. While not a replacement for professional therapy, the Therapy Chatbot serves as a supportive companion, encouraging users to seek help, build resilience, and feel heard in a world where mental well-being is more important than ever.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Srinithi G M | JAIN UNIVERSITY |
| 2 | BHOOMI J | JAIN UNIVERSITY |
| 3 | Harshini B S | JAIN UNIVERSITY |
| 4 | Sanjeevi Raju K k | JAIN UNIVERSITY |
| 5 | Madhumitha S | JAIN UNIVERSITY |
| 6 | DR A VIJAYKUMAR | JAIN UNIVERSITY |
How to Cite
Use the following formats to cite this article in your research.
APA Style
M, Srinithi G, J, BHOOMI, S, Harshini B, k, Sanjeevi Raju K, S, Madhumitha, & VIJAYKUMAR, DR A (2025). SINCAPY - A SEVERLESS THERAPHY CHATBOT. International Journal of Advance Research and Innovative Ideas In Education, 11(3), 738-746.
MLA Style
M, Srinithi G, et al. "SINCAPY - A SEVERLESS THERAPHY CHATBOT." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, 2025, pp. 738-746.
IEEE Style
Srinithi G M, BHOOMI J, Harshini B S, Sanjeevi Raju K k, Madhumitha S, and DR A VIJAYKUMAR, "SINCAPY - A SEVERLESS THERAPHY CHATBOT," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, pp. 738-746, 2025.
Vancouver Style
M Srinithi G, J BHOOMI, S Harshini B, k Sanjeevi Raju K, S Madhumitha, VIJAYKUMAR DR A. SINCAPY - A SEVERLESS THERAPHY CHATBOT. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(3):738-746.
Harvard Style
M, Srinithi G, J, BHOOMI, S, Harshini B, k, Sanjeevi Raju K, S, Madhumitha, & VIJAYKUMAR, DR A (2025) 'SINCAPY - A SEVERLESS THERAPHY CHATBOT', International Journal of Advance Research and Innovative Ideas In Education, 11(3), pp. 738-746.
Chicago Style
M, Srinithi G, et al. "SINCAPY - A SEVERLESS THERAPHY CHATBOT." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 738-746.
Turabian Style
M, Srinithi G, et al. "SINCAPY - A SEVERLESS THERAPHY CHATBOT." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 738-746.
Related Research
Digital Assistant for Legal Awareness and Designing a KYR (Know-Your-Rights) framework in India
PDF Unavailable
LI-FI DATA TRANSFER SYSTEM USING ARDUINO
PDF Unavailable
Two-Stage Image Denoising by Principal Component Analysis with Local Pixel Grouping.
PDF Unavailable
Spam Call Protection Using Machine Learning
PDF Unavailable
Design of Microstrip multiband Triangular patch antenna using DGS technique at 6.5 GHz
PDF Unavailable
TRANSFORMING PET BOTTLE INTO THREAD
PDF Unavailable