Job description

This is a remote position.

Learn on the job
Build Impactful Products
SaaVidya and Innotrat Labs bring a golden opportunity for students interested in learning End to End Embedded/ IoT Product Development
A. Whats Inside
- Embedded/IOT Training
- Hardware Product Development
- C/C++ Programming Language for embedded systems
- Embedde/IOT communication Protocols

B. Terms
Master skills with industry experts
3-month immersive program
Locations : Bhubaneswar, Chennai. Shortly at Hyderabad, Bengaluru, Anantapur/Puttaparthi/Kurnool (AP).
Get certified with an internship certificate
Fast-track to full-time employment!
Mode of Work - On Site
Students/Graduates: ECE - ETC - EE - EEE - Mechatronics - Biomedical - Instrumentation

Requirements

C. Weekly Schedule
Week 1-2:
Fundamentals of Embedded Systems and Applications (In-Depth)
Overview of Microcontrollers, Processors, and Architectures
Programming in C/C++ for Embedded Systems
Advanced GPIO, URAT, I2C & SPI Handling and Real-Time Processing Tasks
Lab: Setting up Integrated Development Environment (IDE) and Simple Project
Week 3-4:
Advanced Communication Protocols: CAN, LIN, USB, I2S
Introduction to DMA (Direct Memory Access)
Lab: Implementing Advanced Communication in Embedded Systems
More Focus on Medical Devices and health care products
Week 5-6:
Introduction to Real-Time Operating Systems (RTOS)
Task Scheduling, Memory Management, and Resource Sharing
Lab: Implementing RTOS in Embedded Projects

D. How Medical IOT is done?
D.1. Device Integration:
- ECG (Electrocardiogram) Sensors
- Blood Pressure Sensors
- Glucose Sensors
- Pulse Oximeters
- Temperature Sensors:
- Motion Sensors (Accelerometers and Gyroscopes):
D.2. Data Collection and Transmission:
- RFID/NFC Sensors:
- Wi-Fi/Bluetooth Modules:
- GPS Sensors:
- Industry Oriented Micro Controllers -STM32
D.3. Data Processing and Analysis
- Environmental Sensors (e.g., humidity and temperature):
- Electromyography (EMG) Sensors
- Optical Sensors
D.4 Data Security and Compliance:
- Biometric Sensors
D.5 Feedback and Adjustments:
- Insulin Pumps with Glucose Sensors:
- Automatic CPAP Devices
- Implanted Sensors
D.6 Integration with Healthcare Systems:
- Barcode and RFID Scanners
- Thermal Imaging Sensors
D.7 Remote Monitoring and Alerts:
- Respiration Rate Sensors:
- EEG (Electroencephalogram) Sensors:
- Pressure Sensors:
- Fall Detection Sensors