About FeverDoc-AI: Tropical Fever Triage Expert

Mission

To empower frontline healthcare workers in resource-limited settings with a powerful, AI-driven tool for the rapid triage of tropical fevers, improving patient outcomes and enabling proactive public health surveillance.

The Problem: A Silent Epidemic

In rural India and other tropical regions, fever is a common symptom for a host of deadly diseases—Dengue, Malaria, Typhoid, and more. For local healthcare workers, distinguishing between them is a monumental challenge:

Overlapping Symptoms: Many fevers present with similar initial signs, making clinical diagnosis difficult.
Limited Resources: Access to labs, diagnostic kits, and specialist doctors is scarce and time-consuming.
Delayed Action: The delay between symptom onset and accurate diagnosis can be fatal and allows outbreaks to spread unchecked.

Our Solution: An AI Expert in Your Pocket

FeverDoc-AI transforms a standard smartphone into a sophisticated diagnostic and surveillance hub. It acts as an intelligent assistant, trained on vast medical and epidemiological datasets, to guide healthcare workers from initial triage to actionable next steps.

Key Features

1. FeverFusion™ Comprehensive AI Triage

Our core diagnostic engine. Users fill out a simple form, augmented with powerful multimodal inputs. The AI fuses this data to generate a detailed analysis, including:

Patient Data: Symptoms, vitals, medical history, and location.
Visual Analysis: Users can upload photos of skin rashes, tongue conditions, eye signs, and Rapid Diagnostic Test (RDT) kits for AI interpretation.
Audio Analysis: The system can analyze the sound of a patient's cough to identify respiratory characteristics.
Outputs: A detailed report with a primary diagnosis, differential diagnoses, risk level, and clear, actionable recommendations.

2. Live AI Video Consultation

A real-time, interactive diagnostic experience. The AI assistant verbally guides the healthcare worker through an examination over a live video call, using tool-calling to capture visual evidence like rashes or tongue photos directly from the video stream.

3. Disease Surveillance Dashboard

A public health command center providing a real-time, district-level view of the epidemiological landscape. It visualizes:

Active Outbreak Alerts: Highlighting regions with critical spikes in fever cases.
Regional Data: Tracking case trends (increasing, stable, decreasing) against historical baselines.
Climate Correlation: Integrating environmental data like temperature and humidity to predict vector-borne disease risk.

4. AI Fever Orchestrator

A conversational AI designed for remote patient monitoring and follow-up. Healthcare workers can chat with the AI to systematically input patient data, and the orchestrator returns a structured JSON report with risk assessments, personalized insights, and UI recommendations for both patient and clinician apps.

5. AI Training Hub

Transparency and continuous improvement are at our core. This hub allows users to:

View the Knowledge Base: See the detailed, built-in information the AI uses as its foundation.
Interactive Training: Improve the AI's accuracy through supervised learning by uploading new labeled images and text-based examples.

6. Medication Check & Patient History

Medication Check: A simple utility to identify medication from a photo, providing information on usage, dosage, and reminders.
Patient History: All diagnoses are saved locally, allowing for easy tracking and review of a patient's medical journey.

Technology

Frontend: Built with React and styled with Tailwind CSS for a responsive, modern user experience.
AI Engine: Powered by the Google Gemini API, utilizing advanced models like gemini-2.5-pro for complex clinical reasoning and multimodal analysis, and gemini-2.5-flash-preview-tts for text-to-speech capabilities.

Project Context

FeverDoc-AI is a proud creation of the Micro Labs Hackathon 2025, designed with a deep understanding of the on-the-ground challenges faced by healthcare providers in India.