The problem Doctor AI solves

1. Malaria Detection Equipment Cost:

• Existing malaria detection equipment is prohibitively expensive.
• Estimated costs act as a barrier to widespread adoption.

2. Limited Availability of Malaria Detection:

   • Accessibility issues prevail, restricting the availability of malaria detection equipment.
   • Not easily accessible in various healthcare settings.

3. Anemia Detection Challenges:

   • The detection of anemia is hindered by high diagnostic costs.
   • Alarming statistics highlight the prevalence of anemia, underscoring the need for affordable detection methods.

4. Financial Barriers for Anemia Diagnosis:

   • High costs associated with anemia diagnostics discourage timely diagnosis and treatment.
   • Financial implications exacerbate the impact of anemia on affected individuals.

5. Comprehensive Blood Reports:

   • Creating detailed blood reports, including WBC count and types, requires expensive equipment.
   • Specialized personnel are needed, adding to the complexity and cost of diagnostics.

6. Limited Access to Blood Reports in Remote Areas:

   • Comprehensive blood reports are not readily available in remote and underserved areas.
   • Costly equipment and expertise contribute to the restricted availability.

7. Impact on Health Outcomes:

   • Limited access to affordable blood-related disease detection contributes to an increasing number of fatalities.
   • Urgent need for innovative, cost-effective solutions to address financial, geographical, and expertise-related barriers.

Challenges we ran into

The biggest callange was colleting wright api, for the AI