Project Overview:
The app is designed to support healthcare providers and patients in quickly assessing potential COVID-19 cases through an intelligent chatbot and AI-powered CT scan analysis. By combining symptom-based screening and medical imaging classification, the tool enhances early detection and reduces strain on healthcare systems.
Key Features:
- Symptom Assessment Chatbot
- Guides users (patients or clinicians) through a structured questionnaire to evaluate COVID-19 risk based on symptoms, exposure history, and comorbidities.
- Provides instant recommendations, such as self-isolation, testing, or urgent care, based on responses.
- AI-Based CT Scan Classification
- Uses deep learning to analyze chest CT scans and differentiate between normal lungs, bacterial pneumonia, and COVID-19 patterns.
- Assists physicians in prioritizing critical cases by flagging high-probability COVID-19 scans.
Technical Implementation:
- Natural Language Processing (NLP) for the chatbot’s adaptive questioning.
- Convolutional Neural Networks (CNN) trained on labeled CT datasets to ensure high diagnostic accuracy.
- User-friendly dashboard for physicians to review patient inputs and AI findings in one place.
Impact & Benefits:
- Faster triaging of suspected COVID-19 cases.
- Reduced misdiagnosis with AI-supported imaging analysis.
- Scalable screening for hospitals, clinics, and at-home use.
