Neuro-Well

Neuro Well addresses the critical challenge of accurately assessing and treating stroke patients, a process that is often complex and time-sensitive. Traditional stroke diagnosis and rehabilitation methods can be fragmented and inefficient, leading to delayed treatment and suboptimal recovery outcomes. Neuro Well streamlines this process by offering a comprehensive, data-driven platform that integrates cognitive, speech, and motor assessments with advanced computer vision and AI technologies. Healthcare professionals can use Neuro Well to conduct thorough evaluations, track patient progress in real-time, and develop personalized rehabilitation plans. This not only enhances the accuracy of diagnosis but also expedites the initiation of targeted treatments. By simplifying these tasks, Neuro Well makes it easier for medical staff to provide effective and timely care, ultimately improving patient recovery and quality of life.

Technologies Used

• Streamlit: Interactive Web Interface
• Google Sheets: Patient Score Storage
• Speech Recognition Model: Speech Analysis
• Google Translate: Multilingual Support
• OpenCV: Image Processing
• MediaPipe: Real-Time Hand Tracking
• CVZone: Game Integration
• Matplotlib (pyplot): Graphical Representation

User Interface Preview ▶ Watch Video

Home Page	Nurse Dashboard	Speech Test
Home Page Login as patient or as nurse	Nurse Dashboard Enter new patient details or view old patient scores	Speech Test Speech assessing test with scores and graphs

Pic Match Test	Pic Match Game	Hand-Eye Coordination Game
Pic Match Test Tests your skill to match the image to the right emoji image	Pic Match Game Snapshot of the game...	Hand-Eye Coordination Game Ping pong ball game

Snake Game	Result Page	Score Visualization
Snake Game Move your hand towards the food, coordination test...	Result Page Displays your scores and assessment results	Score Visualization Plotted graphs for better score visualization

Basic Hardware Implementation

Flex Sensors	Hand Gloves	LED Display
Flex Sensors Detects finger movements by measuring the bending angle, crucial for mobility analysis.	Hand Gloves Equipped with servo motors and flex sensors to assist movement and provide rehabilitation feedback.	LED Display Shows real-time sensor readings and mobility scores for immediate feedback.

Installation and Setup

Follow the steps below to set up and run the project:

1. Clone the Repository

git clone https://github.com/bdeekshith066/Neuro-Well.git

2. Navigate to the Project Directory

cd Neuro-Well

3. Install Dependencies

pip install -r requirements.txt

4. Run the Application

streamlit run app.py

Contributors

• bdeekshith066 - Lead Developer, Software Implementation
• sanjanawg - Conceptualization, Project Planning & Execution
• Skandakm29 - Hardware Design & Integration

Contact

For queries or collaborations, feel free to reach out:
📧 Email: bdeekshith6@gmail.com
🔗 LinkedIn: Deekshith