Healthcare accessibility remains a challenge in many rural and remote areas. The Smart Doctor Assistant is an AI-powered system developed using PictoBlox block coding that helps users identify common health conditions based on their symptoms. The system uses speech recognition to accept voice input, machine learning to analyze symptoms, and text-to-speech to provide responses.

This project demonstrates how Artificial Intelligence can be used to create innovative and affordable healthcare solutions.

Software

1. PictoBlox

Hardware

1. Quarky
2. Servo Motor 1
3. Servo Motor 2
4. DHT Temperature Sensor
5. Computer/Laptop

Many people do not have immediate access to doctors for basic health consultation. As a result, minor illnesses often go untreated or are diagnosed late.

There is a need for an affordable and intelligent system that can provide preliminary health assessment and guidance.

The Smart AI Doctor Assistant allows users to:

1. Enter personal information
2. Select or enter symptoms
3. Receive an instant diagnosis
4. Get medicine recommendations
5. Measure body temperature automatically
6. Generate a downloadable medical report

This solution can be deployed in schools, villages, health camps, and small clinics.

Home Screen

The Home Screen welcomes the user and provides navigation options.

Features:

1. User-friendly interface
2. Easy navigation between sections
3. Voice-based welcome message

The user enters:

1. Name
2. Age

This information is later included in the final medical report.

Users can select predefined symptoms or manually type symptoms.

Available symptoms:

1. Fever
2. Cold
3. Headache
4. Stomach Pain

The selected symptoms are stored for analysis.

Disease Diagnosis

The diagnosis engine checks the symptoms entered by the user.

Example

SymptomDiagnosisMedicine

Fever

Cold

Others

The result is displayed on the screen and spoken aloud using the Tobi sprite.

Smart Hardware Scan

When fever is detected, the system automatically starts a health scan.

Hardware Actions

Servo Motor 1

Moves to 0° position.

Servo Motor 2

Moves to 180° position.

Voice Instruction

The assistant asks the user to blow on the sensor.

Temperature Measurement

The DHT sensor records body temperature.

The system classifies temperature into three categories:

High Fever

Temperature ≥ 38°C

Mild Fever

Temperature between 37°C and 38°C

Normal

Temperature below 37°C

Results are displayed and announced through voice feedback

Report Generation

After diagnosis, the user can download a report.

The report contains:

1. Patient Name
2. Age
3. Symptoms
4. Diagnosis
5. Suggested Medicine

Innovation

The project combines software intelligence with physical automation. Unlike traditional symptom-checking applications, it integrates:

1. Real-time temperature monitoring
2. Automated servo-based scanning
3. Voice-guided interaction
4. Health report generation

This creates an interactive healthcare experience.

Entrepreneurship Potential

The Smart AI Doctor Assistant can be developed as:

1. Rural Health Kiosk
2. School Health Monitoring System
3. Community Healthcare Booth
4. Low-Cost Smart Clinic Assistant

The solution has potential for deployment in underserved communities where healthcare resources are limited.

Future Scope

1. AI-based disease prediction using Machine Learning
2. Speech Recognition for hands-free interaction
3. Cloud storage of patient records
4. Doctor appointment integration
5. Mobile application connectivity
6. Multi-language support

Please Click on the link to get the code of project link