Advanced Pre-Engineering - 9 Months
Full-stack robotics and IoT for Class 11-12. Deep dive into ROS, Raspberry Pi, and complex automation.
Instructor: Sarvtra Expert
Detailed Project Manual
The Pre-Engineering Laboratory
Welcome to the most intensive K-12 engineering program in the country. Our Advanced Track is not just about building kits; it is about architectural thinking. Students learn how to build systems that are secure, efficient, and cloud-connected.
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90-Day Industry Capstone Project
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College-Level Labs & Certification
Safety First
Use an ESD wrist strap when handling the ESP32 to prevent damage from static.
NEVER connect the submersible pump directly to the microcontroller; always use the relay driver.
Check power ratings before connecting long-range power adapters.
Pro Tip: Read all instructions before starting the build to ensure a smooth making experience.
What's in the Kit?
Advanced Computing
Automation Components
Step-by-Step Build Manual
IoT Cloud Setup
- Create an account on an IoT Cloud platform (Blynk or Adafruit IO).
- Generate the API Authentication tokens.
- Design the mobile dashboard with gauge and switch widgets.
Expected: Cloud backend configured
Sensor Hub Configuration
- Calibrate the moisture sensor (Dry value vs Wet value).
- Connect the DHT22 for temperature and humidity data.
- Program the ESP32 to send data to the cloud via Wi-Fi.
Tip: Use deep-sleep mode in ESP32 for battery-powered deployment.
Expected: Data streaming active
Automation Bridge
- Wire the pump through the N.O. (Normally Open) terminal of the relay.
- Implement the logic: If Soil Moisture < 30%, Turn ON Pump.
- Add a manual override switch in the mobile app.
Expected: Closed-loop automation ready
Optimization & Dashboarding
- Optimize code for multi-threading (RTOS) to handle sensor reading and Wi-Fi simultaneously.
- Add historical data logging (Google Sheets integration).
- Final stress test: Simulate low moisture and check pump response time.
Expected: Production-ready Smart Farm System
Learning Outcomes
Course Curriculum
Extension Activities (Optional)
Integrate a Solar Panel with MPPT Charge Controller for off-grid use
Add a LoRa module for 5km+ range sensor transmission
Use Computer Vision to detect plant health (requires Raspberry Pi add-on)
Teacher's Note
“This track simulates real engineering challenges. Encourage students to document their edge cases and failure points.”