Embedded AI Using ESP 32
Project Internship Program
Duration: 15 Weeks
Project Training – Offline / Online – 2 or 4 WEEKS
Project Development – Offline/ Online – 4 or 6 or 8 WEEKS
PROGRAM HIGHLIGHTS:
- Comprehensive Python and Machine
Learning Foundation - Hands-on Learning Across Multiple
Domains - Introduction to Deep Learning and
Advanced Neural Networks - Embedded Systems and IoT with ESP32
- AI/ML Deployment on Edge Devices
TOOLS AND RESOURCES:
- Python, Scikit-Learn, TensorFlow, Keras (for ML/DL)
- ESP32, MicroPython, TensorFlow Lite for
microcontrollers - Cloud platforms (e.g., ThingSpeak, AWS IoT) for data
storage and visualization
SAMPLE PROJECT TITLES:
- AI Based Temperature and Humidity Prediction
- AI Based Anomaly Detection in Room Noise Levels
- Gesture Recognition with ESP32 and Accelerometer
- Air Quality Monitoring and Classification
Program Outcomes:
- Proficiency in Python Programming
- Hands-on Machine Learning Skills
- Deep Learning and Neural Network
- Understanding Embedded Systems and IoT Expertise
- AI/ML Model Deployment on Edge
Devices
- Python Basics
- Data Structures in Python
- Object-Oriented Programming in Python
- Advanced Python and Data Handling
- Introduction to Machine Learning
- Supervised Learning Algorithms
- Unsupervised Learning Algorithms
- Introduction to Deep Learning
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Basics of Embedded Systems and ESP32
- ESP32 GPIO Programming and Sensors
- Communication Protocols and Peripheral Control
on ESP32 - Networking with ESP32
- Data Storage and Management on ESP32
- Introduction to Edge AI and Model Optimization
- Deploying Machine Learning Models on ESP32
- Deep Learning Model Deployment on ESP32
Project Phase-1: Research, Planning, and Initial
Development
- Project Scope Definition
- Research & Feasibility Study
- Initial Planning & Setup
- Early Prototyping or Conceptual
Design
Project Phase-2: Development, Testing, and
Refinement
- Development & Iteration
- Testing and Validation
- Refinement & Optimization
- Prepare for Final Deliverables
- Final Project Demo and Presentation
- Final Presentation
