Python-Based Healthcare & Robotics Applications - 15 Days
Python Healthcare & Robotics - 15 Days ₹199. Build medical robots with Python & AI.
Course Overview
Program Description
Skills You'll Learn
Projects You'll Work On
Live Project 1: Patient Recognition & Medicine-Serving Robot
Build an autonomous medicine-serving robot with: Deep learning-based face recognition module, ROS simulation in Gazebo, LiDAR-based SLAM and autonomous navigation, Medication verification system, Real-time patient identification.
Live Project 2: Surgical Instrument Assistance System
Build a surgical instrument assistance system using UR5e collaborative robot with: YOLOv8 for object detection (scalpel, forceps, scissors), MediaPipe for hand key-point detection, RealSense camera for 3D coordinate calculation, Python-based robot control.
Live Project 3: Human-Robot Interaction (HRI) Healthcare Assistant
Build an interactive healthcare robot with: Voice command recognition, Gesture recognition using OpenCV and MediaPipe, Cooperative control for physical interaction, Teleoperation capabilities for remote assistance.
Program Modules
D1: Introduction to Python for Healthcare Robotics
Overview, Python ecosystem, healthcare robotics applications, ROS basics. Setting up Python environment (Python 3.x, Jupyter, ROS, OpenCV).
D2: Python Programming Fundamentals
Variables, data types, loops, functions, OOP, NumPy basics. Matrix operations and vector calculations for robotics.
D3: Sensor Data Processing
Sensor types (IMU, LiDAR, camera, biosensors), data filtering, signal processing. Implement sensor filters and regulators in Python.
D4: Camera & Image Processing
OpenCV fundamentals, image capture, preprocessing, feature extraction. Build real-time camera feed processor.
D5: Computer Vision for Healthcare
Medical object detection using YOLOv8, surgical instrument classification. Implement YOLOv8 for medical instrument detection.
D6: Face Recognition & Patient Identification
Face_recognition library, CNN-based facial embeddings, patient verification. Build patient identification module.
D7: Voice & Gesture Interaction
Speech recognition, gesture detection with MediaPipe. Voice-controlled robot interface development.
D8: Robot Manipulators & Kinematics
Forward/Inverse kinematics, rotation matrices, coordinate transforms. Implement kinematics calculations in Python.
D9: Robot Operating System (ROS)
ROS basics, nodes, topics, services, URDF modeling. ROS node development with Python.
D10: ROS Simulation & Navigation
Gazebo simulation, LiDAR-based SLAM, AMCL navigation. Simulate autonomous robot navigation.
D11: Deep Learning for Medical Robotics
CNN architecture, transfer learning, training for medical tasks. Train CNN for medical image classification.
D12: Human-Robot Interaction (HRI)
Voice, gesture, and cooperative control frameworks. Build multi-channel HRI prototype.
D13: Surgical & Assistive Robotics
Surgical instrument assistance, exoskeleton control. Implement UR5e collaborative robot control.
D14: Project Development
Build complete healthcare robotics application. Full system integration and testing.
D15: Project Presentation & Certification
Final project demo, viva voce, course wrap-up. Present prototype and receive certificate.
Key Features
What You'll Learn
Examination Details
| Exam Name | Full Marks | Pass Marks |
|---|---|---|
| Module-wise Assessment | 100 | 40 |
| Practical Lab Assessment | 100 | 40 |
| Project Evaluation | 100 | 40 |
| Project Viva | 100 | 40 |
Internship Details
Prerequisites
- Basic Python programming knowledge
- Understanding of basic mathematics (matrices, vectors)
- Interest in healthcare or robotics applications
- Biomedical or Engineering background preferred
- Knowledge of ROS basics helpful
Who Can Enroll ?
- B.Tech/M.Tech Biomedical Engineering students
- B.Tech/M.Tech Robotics/Automation students
- B.Tech ECE/EEE/CSE students
- Healthcare technology professionals
- Robotics researchers and developers
Certificate Preview
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