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Python-Based Healthcare & Robotics Applications - 15 Days

Python Healthcare & Robotics - 15 Days ₹199. Build medical robots with Python & AI.

15 Days
Anywhere in India • Patna • (Offline & Online)
PY-HCR-101
₹199
₹799 Save 75%
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Course Overview

Program Description

15-day intensive course on applying Python programming to healthcare and robotics challenges. Learn to develop software for physically interactive medical devices, control robotic systems, and implement AI-driven healthcare applications including patient recognition, surgical instrument assistance, and human-robot interaction.

Skills You'll Learn

Python
Healthcare Robotics
ROS
ROS2
OpenCV
YOLOv8
MediaPipe
Face Recognition
Deep Learning
TensorFlow
Gazebo
SLAM
AMCL
Kinematics
Human-Robot Interaction
Surgical Robotics
Medical Devices
NLP
Voice Recognition

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

1

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).

2

D2: Python Programming Fundamentals

Variables, data types, loops, functions, OOP, NumPy basics. Matrix operations and vector calculations for robotics.

3

D3: Sensor Data Processing

Sensor types (IMU, LiDAR, camera, biosensors), data filtering, signal processing. Implement sensor filters and regulators in Python.

4

D4: Camera & Image Processing

OpenCV fundamentals, image capture, preprocessing, feature extraction. Build real-time camera feed processor.

5

D5: Computer Vision for Healthcare

Medical object detection using YOLOv8, surgical instrument classification. Implement YOLOv8 for medical instrument detection.

6

D6: Face Recognition & Patient Identification

Face_recognition library, CNN-based facial embeddings, patient verification. Build patient identification module.

7

D7: Voice & Gesture Interaction

Speech recognition, gesture detection with MediaPipe. Voice-controlled robot interface development.

8

D8: Robot Manipulators & Kinematics

Forward/Inverse kinematics, rotation matrices, coordinate transforms. Implement kinematics calculations in Python.

9

D9: Robot Operating System (ROS)

ROS basics, nodes, topics, services, URDF modeling. ROS node development with Python.

10

D10: ROS Simulation & Navigation

Gazebo simulation, LiDAR-based SLAM, AMCL navigation. Simulate autonomous robot navigation.

11

D11: Deep Learning for Medical Robotics

CNN architecture, transfer learning, training for medical tasks. Train CNN for medical image classification.

12

D12: Human-Robot Interaction (HRI)

Voice, gesture, and cooperative control frameworks. Build multi-channel HRI prototype.

13

D13: Surgical & Assistive Robotics

Surgical instrument assistance, exoskeleton control. Implement UR5e collaborative robot control.

14

D14: Project Development

Build complete healthcare robotics application. Full system integration and testing.

15

D15: Project Presentation & Certification

Final project demo, viva voce, course wrap-up. Present prototype and receive certificate.

Key Features

3 Live Projects: Medicine-Serving Robot + Surgical Assistance + HRI Healthcare Assistant
Complete Source Code Access
Hands-on Sessions (Offline/Online)
ISO 9001:2015 Certified Certification
3 Real Projects
Project Report & Documentation
Video Tutorials
GitHub Portfolio
ROS/ROS2 Environment Access

What You'll Learn

Program robotic manipulators using Python
Implement sensor data processing
Develop computer vision systems
Build ROS-based healthcare robot simulations
Apply deep learning for patient recognition
Design voice/gesture interfaces
Deploy integrated healthcare robotics systems

Examination Details

Exam NameFull MarksPass Marks
Module-wise Assessment10040
Practical Lab Assessment10040
Project Evaluation10040
Project Viva10040
Python-Based Healthcare & Robotics Applications - 15 Days

Internship Details

Duration15 Days
CompanyNextVision Infotech
IndustryEngineering & Technology
LocationAnywhere in India • Patna • (Offline & Online)
Available Seats30
Course CodePY-HCR-101
Apply Now — ₹199

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

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