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A conversational AI chatbot designed to provide mental health support through empathetic dialogue, mood tracking, and guided exercises like breathing techniques and journaling prompts. The system uses NLP to detect emotional states and escalate to professional help when needed.
Problem Statement
Mental health issues among college students in India have risen sharply, with studies showing that 1 in 3 students experience anxiety or depression. However, stigma and lack of accessible, affordable counseling services prevent most students from seeking help. An AI chatbot that provides immediate, anonymous emotional support can serve as a first line of assistance and bridge the gap to professional care.
Objectives
Build a conversational AI with empathetic response generation
Implement emotion detection from user text input
Create a mood tracking and journaling system
Develop guided mental wellness exercises
Design an escalation system for crisis situations
Modules
Chat Engine
LLM-powered conversational engine with empathetic response templates and safety guardrails.
Emotion Detector
NLP model that classifies user emotional state (happy, sad, anxious, angry, neutral) from text.
Mood Tracker
Daily mood logging with visualizations showing emotional patterns over weeks and months.
Wellness Toolkit
Guided breathing exercises, progressive muscle relaxation, gratitude journaling, and CBT-based activities.
Crisis Detection
Keyword and sentiment-based detection of crisis situations with automatic display of helpline numbers.
Expected Output
A web-based chatbot that engages users in supportive conversation, detects their emotional state, tracks mood over time with visual charts, offers guided mental wellness exercises, and appropriately suggests professional help when detecting signs of serious distress.
Future Scope
Voice-based interaction, integration with wearables for physiological mood detection (heart rate, sleep patterns), multilingual support in Indian languages, therapist matching platform, and anonymous peer support communities.