CASE STUDY
Gen AI-Chatbot
YourHour was originally designed to monitor and reduce daily screen time with alerts. Facing rising demand for mental health support, the team enhanced the app by integrating a Retrieval-Augmented Generation (RAG) AI chatbot. This “AI companion” continued screen-time coaching while also answering mental health questions, providing personalized advice on anxiety or depression, and offering companionship—based on how screen time affects health and emotional well-being.
CHALLENGES
Mental health risks from
screen overuse
Extended screen use causes stress, sleep disruption, and reduced happiness.
Demand for
interactive support
Users wanted more than alerts - AI conversations soothe stress and loneliness like real human connection.
Building a trustworthy
knowledge base
Trusted mental health content powered the chatbot’s accurate and empathetic RAG-based responses.
Solutions
We built a RAG-based AI chatbot integrated into YourHour to serve
as a digital wellness buddy. Key features:
Knowledge-
augmented Q&A
Using RAG and credible content, the chatbot delivers accurate answers on lifestyle and mental health.
Companionship &
personalized advice
Empathy, CBT, and mindfulness help the bot address anxiety, loneliness, and emotional well-being.
Holistic well-being
Focus
Solution supports digital wellness by tracking screen time and suggesting breaks or offline activities.
Implementation
The project was completed in 2 weeks following an agile,
parallel workflow. Key steps included:
Research and data collection
Data curation and Preprocessing
Model selection and fine-tuning
LangChain RAG pipeline integration
Vector store deployment
AWS deployment
Secure chat flow
Privacy and Compliance
TECHNOLOGY STACK
Languages & Frameworks
python
langchain
Streamlit
Models & Data
Open ai
Vector Database
Meta
Chroma
Cloud & Deployment
Elastic Beanstalk
Simple Storage Service
CloudWatch
