ASHA (Automated SOS and Help App) is a sophisticated application designed to enhance user safety by automating SOS alerts and analyzing contextual voice inputs. Leveraging modern technologies and machine learning, ASHA aims to provide timely assistance in emergency situations.
- Voice Input Analysis: Captures and analyzes voice inputs to detect potential danger or distress signals.
- Automatic SOS Alerts: Sends SOS alerts and emails for immediate help based on detected distress signals.
- Location Tracking: Retrieves and includes the user's location data in SOS alerts for a quick response.
- Contextual Analysis: Uses machine learning to assess the context of voice inputs and determine safety levels.
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Frontend:
- React: For building the user interface.
- CSS: For styling and layout.
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APIs:
- SpeechRecognition
- Nominatim
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Backend:
- Python-based Backend
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Machine Learning:
- Bert LLM:
- Heuristic Searching: For detecting and evaluating contextual patterns in voice inputs.