Self-Driving Car Guided Hackathon

Overview:

This Guided hackathon is designed to provide a comprehensive understanding of the technology behind self-driving cars. It will cover a range of topics from basic Arduino programming to
advanced machine learning models and image processing techniques. The aim is to equip students with the knowledge and skills to develop a prototype of a self-driving car.

Objectives:

• To introduce the fundamentals of Arduino hardware and programming.
• To develop skills in building and controlling robots via different communication methods.
• To understand and apply Python programming in machine learning and image processing.
• To create a functioning model of a self-driving car using live image data

Hackathon Format:

• Duration: 5 Days (first 3 Days comprehensive training and next 2 days will be complete Hackathon)
• Mode: On-Campus live.
• Materials: Arduino kits, PCs with Python and relevant libraries, Bluetooth modules, smartphones for camera use.

Target Audience:

• College students interested in robotics, machine learning, and artificial intelligence.
• Beginners with a basic understanding of programming and electronics.

Outcomes:

• Hands-on experience in building and programming robotic models.
• Understanding the application of machine learning in autonomous vehicles.
• Ability to develop a prototype self-driving car using real-time image data

Curriculum:

Module 1: Introduction to Arduino Hardware and Programming

• Overview of Arduino components and functionalities.
• Basic Arduino programming concepts.

Module 2: Robotics Control

• Developing a PC-controlled robot using serial communication.
• Building a Bluetooth-controlled robot.

Module 3: Python Programming

• Fundamentals: Data types, control flow structures, functions, and object-oriented programming.
• Hands-on exercises and mini-projects.

Module 4: Machine Learning Basics

• Introduction to machine learning concepts.
• Project process flow and lifecycle.
• Linear and Logistic Regression fundamentals.
• Implementing regression models using Python

Module 5: Neural Networks

• Fundamentals of neural networks.
• Implementing artificial neural networks using Python.
• Practical applications in image recognition and classification.

Module 6: Image Processing

• Fundamentals of image processing.
• Implementing an image classification model.

Module 7: Live Image Capturing and Processing

• Connecting a smartphone camera via WiFi.
• Techniques for capturing live images.
• Developing an image classification model using live images.

Module 8: Developing a Self-Driving Car Model

• Integrating learned concepts to build a self-driving car prototype.
• Real-time application of machine learning models and image processing.

Our Deliverable:

• Each student will get certificate of hackathon.
• Hands on Training from Industry Expert and Technical Support.
• Advanced and Industry level of curriculum.
• Life time access to our LMS :: study material, PPT, PDF, Quizzes and assignment
• During the Hackathon students will solve real time based problem

Pre learning Materials

Here we are sending the link of our premium course. Students can check/learn required skills from these courses before attending the Self Driving Car Hackathon/Workshop.

• Understanding the Robotics, Arduino Programming and Sensors and Actuators: https://www.youtube.com/watch?v=HyviFQXY0nA&list=PLzozM2wXqNQbXDkiPXOEaR5-_V-g0Eb35
• Python Programming, Machine Learning: https://www.youtube.com/watch?v=N1LzFTTFhEY&list=PLzozM2wXqNQZbIA41ANJ8i8BWw794vKt6
• Demo Video of Self Driving Car : Use following link to check the https://www.youtube.com/watch?v=8SqqQytUj-E