Pull requests

Deleted the `gmail-mcp-server` and `mcp-headless-gmail` subprojects, and significantly revised the main README to reflect the new project structure, features, and user guidance for the AarogyaAI platform.

Included rules for ignoring Cursor IDE configuration files and directories to streamline project management and prevent unnecessary files from being tracked

Added intelligent chatbot endpoint for patient interactions, implemented chat history retrieval and clearing features, and updated frontend components to support chat history loading and display, improving user experience and interaction wi

Updated SYSTEM_NOTES and SYSTEM_PRESCRIPTION for improved clarity and structure, added error handling in AINotes component for better user feedback, and included User-Agent headers in various fetch requests across frontend components to imp

Implemented Medical Test Booking with recommended tests from the doctor and private booking

Improved transcriptions with better UI functionalities for viewing the same

Integrated AINotes to allow users to generate notes from transcripts, enhancing the note-taking functionality and providing an option to mirror AI notes into the scribe notes area.

Enhanced SpeechToText to manage session state and handle partial results. Updated Transcripts to display real-time transcription feedback and integrated session persistence for appointment transcriptions in DoctorPatientProfile.

Integrated Transcripts component and updated SpeechToText to handle live transcription sessions. Added fetching logic for appointment transcriptions and improved error handling for speech recognition support.

Added the scribe notes for the doctor and the appointment speech-to-text transcripts section to the patient profile in the doctor dashboard. Also made necessary schema changes in the DB to save the same and fetch and view on the frontend

Fix #3 Added appointments management for both patient and doctor

feat #4 Added Indian Markets for Analysis and Visualization

Changed port from 5000 to 8080

🔧 Core Components 1. AI Analysis Agent (src/agents/ai_analysis_agent.py) OpenAI Integration: Uses GPT-3.5-turbo for advanced market analysis Structured Data Classes: StockData and TechnicalIndicators for clean data handling Fallback System