Hi,
I'm Eng.Pratik Khadka.
MSc Student in Embedded Intelligence & IoT Systems
Passionate about transforming IoT technologies into innovative digital solutions for Smart Cities, Agriculture 4.0, and Sustainability.
About Me
Automation Engineer currently pursuing an Erasmus Mundus MSc in Embedded Intelligence & Nano Systems Engineering (EMINENT).
My work explores the full stack of IoT development, from low-level embedded hardware to cloud-based data platforms. I am passionate about building innovative digital solutions for Smart Cities, Agriculture 4.0, and environmental sustainability.
My Approach
My approach focuses on the full stack of IoT development, from low-level hardware integration to cloud-based data analysis. I enjoy iterating on prototypes, collaborating with cross-functional teams, and striving to create products that have a real, positive impact on their users and the environment.
Fun Fact
"I love hiking, traveling, and building things that make life smarter."
Education
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MSc in Embedded Intelligence & Nano Systems Engineering (EMINENT)
Erasmus Mundus Joint Master Degree
3rd Sem (IoT & Robotics):
University of Orléans, France 2nd Sem (Sensors & Devices):
University of Siegen, Germany 1st Sem (Functional Materials):
Hellenic Mediterranean University, Greece -
B.Eng in Automation Technology
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Diploma in Computer Engineering
Pokhara Engineering College (पोखरा इन्जिनियरिङ क्याम्पस), Nepal
Featured Projects
LoRaWAN Indoor Path Loss Analysis
Investigates how environmental conditions affect LoRaWAN signal reliability in offices.
Uses ML models (MLR, RF, XGBoost) on RSSI/SNR data to predict path loss and optimize spreading factors for improved energy efficiency and coverage.
View on GitHubIntelligent Home Automation System
Integrated system on Arduino Mega with biometric/RFID access, ESP32-CAM surveillance, and gas/fire detection.
Features multi-mode control via IR remote and offline voice recognition (DFRobot Gravity module) enabled efficient, hands-free operation.
View on GitHubHEXAPOD ROBOT
A six-legged robot with 18 degrees of freedom (3 servos per leg) on an Arduino platform.
Focuses on gait generation, balance control, and terrain adaptability using inverse kinematics algorithms for autonomous exploration and surveillance.
View on GitHubAutomated Beehive (Ongoing)
IoT-enabled "Agriculture 4.0" project for non-intrusive honey harvesting.
Integrating optical sensors for honey levels, a stepper-motor system for frame splitting, 3D-printed honeyframes, and an IoT dashboard for remote monitoring.
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