🕉 AyurSutra — Panchakarma Patient Management

A clean, web-based clinic management interface for Ayurvedic practitioners, designed to streamline Panchakarma therapy scheduling, patient tracking, and treatment progress monitoring.

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✨ Features

• Dashboard — At-a-glance clinic overview with active patient counts, today's sessions, active therapies, and completion rates
• Patient Management — Browse, search, and filter patients by Prakriti (Vata, Pitta, Kapha, and combinations)
• Therapy Scheduling — Weekly calendar view for booking and managing therapy appointments
• Patient Details — In-depth patient profiles with Dosha analysis, therapy progress tracking, and session history
• Notifications — Real-time alerts for pre/post-procedure reminders and schedule updates
• Appointment Booking — Modal form to schedule new appointments with therapy type and time selection

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🖥️ Views

View	Description
Dashboard	Overview of daily sessions, quick actions, and clinic stats
Patients	Searchable/filterable patient grid
Scheduling	Interactive weekly calendar with appointment slots
Patient Details	Per-patient profile, Dosha chart, and therapy timeline

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🚀 Getting Started

This is a static front-end application — no build step or server required.

1. Clone or download the repository
2. Open index.html in any modern browser
3. Ensure style.css and favicon.png are in the same directory

git clone https://github.com/your-org/ayursutra.git
cd ayursutra
open index.html

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📁 Project Structure

ayursutra/
├── index.html       # Main application shell and all views
├── style.css        # Application styles
├── favicon.png      # App icon
└── README.md        # You are here

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🌿 Therapy Types Supported

• Abhyanga (oil massage)
• Swedana (herbal steam therapy)
• Basti (enema therapy)
• Virechana (purgation therapy)
• Panchakarma Full Course

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🧩 Tech Stack

Layer	Technology
Markup	HTML5
Styles	CSS3
Icons	Font Awesome 6
Logic	Vanilla JavaScript

No frameworks, no dependencies to install — runs entirely in the browser.

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👤 Default Demo Account

The interface loads pre-populated with demo data for the following practitioner and patients:

• Practitioner: Dr. Ayana Sharma
• Patients: Raghav Sharma, Priya Devi, Arjun Singh, Sunita Gupta

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📌 Notes

• Patient data is currently static/demo — connect a backend or local storage layer to persist changes
• The scheduling calendar is initialized to the week of September 13–19, 2025
• Notifications panel displays 3 sample alerts (2 unread)

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📄 License

MIT — feel free to adapt for your clinic or practice.