A comprehensive therapeutic AI system designed for clinical and mental health applications

JARVIS leverages the intersection of Telegram, Spotify, and Ollama AI automation to create a connected therapeutic entity that provides:

• 🧠 Advanced Emotion Analysis using Ollama LLM for precise emotional state detection
• 📚 Evidence-Based Therapeutic Content from philosophical texts and psychology literature
• 🎵 Music Therapy Integration via Spotify for emotion regulation and mood enhancement
• 💬 24/7 Accessible Support through Telegram bot interface
• 🔄 Real-time Emotion Regulation with personalized comforting responses
• 📊 Clinical Data Tracking for mental health monitoring and progress assessment
• 🎯 Preventive Mental Health Care through proactive emotional wellbeing support

# Create conda environment
conda create -n jarvis_env python=3.9
conda activate jarvis_env

# Install dependencies
pip install -r requirements.txt

Create .env file:

# Ollama Configuration
OLLAMA_URL=http://localhost:11434
OLLAMA_MODEL=llama3

# Telegram Bot
TELEGRAM_BOT_TOKEN_PHILOSOPHY=your_telegram_bot_token

# Spotify (Optional - will use simulation mode if not configured)
SPOTIPY_CLIENT_ID=your_spotify_client_id
SPOTIPY_CLIENT_SECRET=your_spotify_client_secret
SPOTIPY_REDIRECT_URI=http://localhost:8080/callback

python bot_launcher.py

J.A.R.V.I.S/
├── main.py                   # Core JARVIS logic
├── bot_launcher.py           # Bot launcher
├── analyze_emotions.py       # Data analysis & visualization
├── src/
│   ├── telegram_bot.py      # Telegram integration
│   ├── commonconst.py       # All configuration (no hardcoding)
│   ├── application/
│   │   ├── mood_analyzer.py    # Emotion detection
│   │   ├── philosopher.py      # Philosophy matching
│   │   ├── music_player.py     # Real Spotify integration
│   │   └── db_manager.py       # Comprehensive logging
│   ├── interaction/music_mood/
│   │   └── music_vs_mood.py    # Music-emotion matching
│   └── book/                   # Philosophy books (JSON)
│       ├── analects.json
│       ├── iching.json
│       ├── mencius.json
│       ├── positive_psy.json
│       ├── social_psy.json
│       └── tao_te_ching.json
└── db/
    ├── emotion_logs.db         # Comprehensive emotion logging
    ├── emotion_history.csv     # Exportable data
    └── emotion_analysis.png    # Visualization charts

1. Emotional State Assessment: User shares feelings via Telegram interface
2. AI-Powered Analysis: Ollama LLM performs deep emotional analysis and pattern recognition
3. Therapeutic Content Matching: AI selects evidence-based philosophical and psychological content
4. Personalized Response Generation: Creates comforting, therapeutic responses tailored to individual needs
5. Music Therapy Integration: Automatically curates and plays emotion-regulating music via Spotify
6. Progress Tracking: Logs emotional patterns for clinical monitoring and wellbeing assessment

• Crisis Detection: Identifies emotional distress patterns and provides immediate support
• Mood Stabilization: Uses philosophical wisdom and music therapy for emotional balance
• Cognitive Behavioral Support: Integrates CBT principles through philosophical teachings
• Mindfulness Integration: Incorporates meditation and mindfulness practices from ancient texts
• Therapeutic Relationship: Builds consistent, supportive AI-human interaction patterns

JARVIS operates as a connected therapeutic entity that seamlessly integrates three powerful platforms:

• Telegram Interface: Secure, accessible mental health communication channel
• Ollama LLM Engine: Advanced natural language processing for emotional analysis and therapeutic response generation
• Spotify Music Therapy: Automated playlist curation and playback for emotion regulation

• Real-Time Emotion Detection: Instant analysis of user messages for emotional state assessment
• Dynamic Content Selection: AI automatically selects most appropriate philosophical and psychological content
• Seamless Music Integration: Automatic playlist generation and device playback without user intervention
• Continuous Learning: System adapts and improves therapeutic responses based on user interactions
• Proactive Wellness Monitoring: Automated check-ins and early intervention triggers

• Unified Experience: Single interface accessing multiple therapeutic modalities
• Contextual Awareness: AI maintains conversation history and emotional patterns across sessions
• Predictive Support: Anticipates user needs based on historical data and current emotional state
• Multi-Modal Therapy: Combines text, music, and philosophical wisdom for comprehensive support
• 24/7 Availability: Continuous mental health support without human therapist limitations

• Emotion-Responsive Playlists: AI curates music based on current emotional state and therapeutic goals
• Automatic Device Detection: Seamlessly plays on user's preferred Spotify-connected devices
• Mood Progression Tracking: Monitors how music affects emotional state over time
• Therapeutic Music Library: Curated collection of clinically-proven mood-regulating music
• Real-Time Adaptation: Adjusts music selection based on user feedback and emotional response

• Full Integration: Complete Spotify control with playlist creation and device management
• Simulation Mode: Therapeutic music recommendations when Spotify credentials unavailable
• Hybrid Mode: Combines real playback with therapeutic guidance and music education

• Analects - Confucian wisdom
• I Ching - Ancient Chinese divination
• Mencius - Confucian philosophy
• Tao Te Ching - Taoist philosophy
• Positive Psychology - Modern psychological concepts
• Social Psychology - Social behavior insights

User: "I feel overwhelmed and stressed about my upcoming presentation"

JARVIS Therapeutic Response:

• 🧠 Emotional Analysis: Anxiety with performance-related stress patterns
• 📚 Therapeutic Wisdom: "The superior man is modest in his speech but exceeds in his actions" - Analects
• 🎵 Music Therapy: Calming instrumental playlist automatically playing on your device
• 💚 Regulation Technique: Guided breathing exercise and confidence-building affirmations
• 📊 Progress Note: Anxiety episode logged for pattern analysis

User: "I feel hopeless and don't see the point in anything"

JARVIS Therapeutic Response:

• 🧠 Crisis Assessment: Depressive episode detected, supportive intervention initiated
• 📚 Healing Wisdom: "Even the darkest night will end and the sun will rise" - Positive Psychology
• 🎵 Mood Elevation: Uplifting, hope-inspiring playlist curated for gradual mood improvement
• 💚 Immediate Support: Crisis resources provided, encouragement for professional help if needed
• 📊 Clinical Alert: Mood pattern flagged for healthcare provider review

User: "Work is overwhelming me, I can't cope anymore"

JARVIS Therapeutic Response:

• 🧠 Stress Analysis: Chronic stress indicators, burnout risk assessment
• 📚 Coping Strategy: "Flow with whatever may happen and let your mind be free" - Tao Te Ching
• 🎵 Stress Relief: Nature sounds and meditation music for immediate calming
• 💚 Wellness Plan: Personalized stress management techniques and boundary-setting advice
• 📊 Wellbeing Tracking: Stress levels monitored for preventive care recommendations

• /status - View comprehensive mental health statistics and emotional patterns
• /export - Export detailed emotion history for clinical review
• /wellness_report - Generate personalized wellbeing assessment
• /crisis_log - Access crisis intervention history and patterns
• python analyze_emotions.py - Create clinical visualization charts and trend analysis

• Emotional Patterns: Detailed timestamp and emotional state progression
• Therapeutic Interventions: Record of philosophical content and music therapy used
• Response Effectiveness: User feedback and emotional improvement metrics
• Crisis Indicators: Early warning signs and intervention success rates
• Wellbeing Trends: Long-term mental health trajectory analysis
• Treatment Compliance: Engagement patterns and therapeutic relationship quality
• Personalization Data: Individual preferences and effective intervention strategies

• Risk Assessment: Automated detection of concerning emotional patterns
• Progress Tracking: Quantifiable improvement metrics over time
• Intervention Analytics: Effectiveness analysis of different therapeutic approaches
• Predictive Insights: Early identification of potential mental health episodes
• Clinical Integration: Export-ready data for healthcare provider collaboration

• Advanced Semantic Matching: Sentence transformers for intelligent therapeutic content selection
• Multi-Modal AI Integration: Seamless connection between Telegram, Spotify, and Ollama LLM
• Real-Time Emotion Processing: Instant analysis and response generation for crisis intervention
• Adaptive Learning: Self-improving therapeutic responses based on user feedback
• Clinical-Grade Security: HIPAA-compliant data handling and privacy protection
• Cross-Platform Compatibility: Works across all devices with Telegram and Spotify access

• Proactive Mental Health Monitoring: Automated check-ins and wellness assessments
• Intelligent Crisis Detection: AI-powered early warning system for mental health episodes
• Personalized Therapy Curation: Dynamic content selection based on individual therapeutic needs
• Automated Progress Reporting: Clinical summaries and improvement metrics generation
• Smart Intervention Timing: Optimal moment detection for therapeutic interventions

• Evidence-Based Practice: Integration of proven psychological and philosophical therapeutic methods
• Holistic Wellbeing: Addressing emotional, cognitive, and behavioral aspects of mental health
• Preventive Care: Early intervention and continuous emotional support
• Personalized Treatment: AI-driven customization for individual therapeutic needs
• Accessibility: 24/7 mental health support regardless of location or time constraints

• Primary Mental Health Support: First-line emotional assistance and crisis intervention
• Therapeutic Augmentation: Complement to traditional therapy and counseling
• Wellness Maintenance: Ongoing emotional regulation and mental health monitoring
• Crisis Prevention: Early detection and intervention for mental health episodes
• Healthcare Integration: Seamless data sharing with mental health professionals

• Privacy Protection: Secure handling of sensitive mental health data
• Professional Boundaries: Clear limitations and referral protocols for serious conditions
• Informed Consent: Transparent communication about AI capabilities and limitations
• Cultural Sensitivity: Respectful integration of diverse philosophical and therapeutic traditions