🧘‍♀️ Manasvi – Your Indian Mental Wellness Companion 🇮🇳💬🌿

Manasvi (मनस्वी) is an AI-powered mental wellness chatbot built especially for Indian users. Whether you're feeling stressed, anxious, or just need a break — Manasvi is here to chat, guide you through Pranayama breathing techniques, suggest yoga asanas, track your mood, and help you meditate with soothing Indian melodies.

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🇮🇳 India-Focused Wellness Features

• 🙏 Yoga & Pranayama Guidance: Get personalized suggestions for breathing techniques like Anulom Vilom and Bhramari, or asanas like Balasana and Shavasana.
• 🎶 Indian Calming Music: Meditate with gentle sitar, flute, or rain ragas.

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🌼 Why Manasvi?

• Named after the Sanskrit word Manasvi, meaning “of pure mind” 🕊️
• Brings ancient Indian wellness practices to modern tech interfaces
• Empowers mental health with AI, not stigma

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🚀 Features

• 💬 AI Chatbot: Chat via text or voice using an Azure GPT-4-powered assistant.
• 🎤 Voice to Text: Speak your thoughts — OpenAI Whisper will convert them to text.
• 📈 Mood Tracker: Record how you're feeling and view progress over time with interactive Plotly graphs.
• 🧘 Meditation Corner: Play calming music and set a timer to relax your mind.
• 🔐 User Login System: Secure signup/login so your data stays yours.
• 🔒 Data Isolation: Each user’s data is stored separately and securely.

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🛠️ Tech Stack

Layer	Technology Used
💻 Frontend	HTML and CSS
🧠 Chatbot	GROQ API
🎙️ Voice Input	OpenAI Whisper
📊 Graphs	Chart.js
🗄️ Database	SQLite (with user data isolation)
🔐 Auth	Python + bcrypt for password hashing

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🚀 How to Run the Project

Follow these steps to set up and run the project locally:

1. Clone the Repository

git clone https://github.com/AasthathecoderX/Manasvi
cd Manasvi

2. Create and Activate a Virtual Environment

On macOS/Linux:

python3 -m venv venv
source venv/bin/activate

On Windows:

python -m venv venv
venv\Scripts\activate

3. Set Up Environment Variables

Create a .env file in the root directory and add your API keys:

GROQ_API_KEY=your_groq_api_key_here
WHISPER_API_KEY=your_openai_whisper_api_key_here

⚠️ Note: Never commit your .env file to version control.

4. Install Dependencies

pip install -r requirements.txt

5. Run the Application

python app.py

The application should now be running. Follow the console instructions or visit the localhost URL if using a web framework.

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