The problem rural-care.ai solves

Problems:
1.1 Patchy Connectivity: Limited or unreliable internet access in rural areas.
1.2. No Doctor Available: A scarcity of medical professionals accessible to rural patients.
1.3. No Healthcare Facilities: Lack of local healthcare infrastructure or clinics.
1.4. No Awareness + Basic Knowledge: Limited health awareness and basic medical knowledge among rural populations.
1.5. Instant Healthcare Features:

2. Voice and Video Call Appointments:
   Connects rural patients with doctors via video calls.
   Seamlessly transitions to voice calls in areas with poor network connectivity.
   Supports communication in local languages.
3. Disease Prediction Using ML:
   Utilizes Machine Learning for early detection and prediction of diseases.
   Analyzes patterns and factors contributing to disease onset.
   Enables proactive healthcare management and personalized care plans.
4. WhatsApp and SMS Diagnostics:
   Offers health updates and diagnostic information via SMS and WhatsApp.
   Ensures continuous communication between healthcare providers and patients.
   Includes details about health status and future appointments.
5. Healthcare AI Assistant:
   A chatbot that provides 24/7 health-related information and advice.
   Powered by advanced AI for accurate and swift responses.
   Enhances decision-making and access to health information.
6. Education Center:
   Features educational videos on a variety of healthcare topics.
   Offers practical demonstrations and expert-led content.
   Aims to increase health awareness and proactive management among users.

Challenges I ran into

Thirdparty Free API to connect patient and doctor over video call (TELEMEDICINE).
Enhancing the AI Health Assistant to accurately guide and provide suggestions to patient.