This repository contains two applications:

1. A Pharmacy Finder application to locate nearby pharmacies
2. A Voice-to-Text Medical Assistant for transcribing and analyzing medical conversations

A Python application that helps users find nearby pharmacies using the Google Places API. The application features a user-friendly GUI with filtering options and detailed pharmacy information.

• Location Services:

  • Auto-locate using IP-based geolocation
  • Manual location input (address, city, or coordinates)
  • Current location display with coordinates

• Search Filters:

  • Adjustable search radius (0.5km to 5km)
  • "Open Now" filter to show only currently open pharmacies
  • Minimum rating filter (0 to 4.5 stars)

• Results Display:

  • Pharmacy name and address
  • Current open/closed status
  • Google Maps rating
  • Direct link to Google Maps
  • Number of results found and filtered

1. Install Python Dependencies:

   pip install -r requirements.txt

2. Google Places API Setup:

   • Go to Google Cloud Console
   • Create a new project or select an existing one
   • Enable the Places API for your project
   • Create an API key
   • Replace the API key in pharmacy/nearest.py:

     self.API_KEY = 'YOUR_API_KEY_HERE'

3. Run the Application:

   python pharmacy/nearest.py

1. Setting Your Location:

   • Click "Auto-locate" to automatically detect your location
   • OR enter an address/city in the text field and click "Set Location"

2. Adjusting Search Filters:

   • Select search radius from dropdown (0.5km to 5km)
   • Check "Open Now" to show only currently open pharmacies
   • Select minimum rating if desired (0 to 4.5 stars)

3. Searching:

   • Click "Search" to find pharmacies
   • Results will show in the main window
   • Each result includes:
     • Pharmacy name
     • Address
     • Rating
     • Open/Closed status
     • Link to Google Maps

4. Troubleshooting:

   • If no results appear, try:
     • Increasing the search radius
     • Removing filters (uncheck "Open Now" or lower minimum rating)
     • Verifying your location is correct
     • Checking your internet connection

A Python application that transcribes medical conversations and provides analysis using OpenAI's Whisper model.

• Voice Recording:

  • Real-time audio recording
  • Automatic speech detection
  • Support for multiple audio input devices

• Transcription:

  • Accurate speech-to-text conversion
  • Medical terminology recognition
  • Support for multiple languages

• Analysis:

  • Medical conversation summarization
  • Key points extraction
  • Important medical terms highlighting

1. Starting the Application:

   python gui.py

2. Recording Audio:

   • Click "Start Recording" to begin capturing audio
   • Speak clearly into your microphone
   • Click "Stop Recording" when finished

3. Transcription:

   • The application will automatically transcribe your recording
   • Transcribed text appears in the main window
   • Wait for processing to complete (indicated by status messages)

4. Viewing Results:

   • Transcribed text is displayed in the main text area
   • Analysis and key points are shown below the transcription
   • Use the scroll bar to view long transcriptions

5. Troubleshooting Audio:

   • Ensure your microphone is properly connected
   • Check your system's audio input settings
   • Verify microphone permissions are enabled

• geopy==2.4.1: For geocoding addresses (Pharmacy Finder)
• requests==2.31.0: For API requests (Pharmacy Finder)
• tk==0.1.0: For the graphical interface (Both applications)
• openai-whisper: For speech recognition (Voice-to-Text Assistant)
• pyaudio: For audio recording (Voice-to-Text Assistant)
• numpy: For data processing (Both applications)
• torch: For machine learning models (Voice-to-Text Assistant)

• Both applications require an active internet connection
• Pharmacy Finder depends on Google Places API quota and billing status
• Voice-to-Text Assistant requires a working microphone
• Location accuracy may vary based on the geolocation method used

How to run:

brew install ffmpeg
chmod +x start_pharmacy.sh && ./start_pharmacy.sh
cd sidd && pip install -r requirements.txt && python server.py
cd sidd && pip install -r requirements.txt
npm i firebase
python main.py
cd sidd && npm install && npm run dev