Nitin Jethava - Submission

This repository contains my solutions for the technical interview, covering multiple topics including Embedded C, C language, OpenCV, Python and Linux. The code is organized into relevant folders, with each folder corresponding to a specific topic. Please review the code and implementations based on the interview requirements.

Repository Structure

• Embedded C: Solutions related to embedded systems programming.
• C Language: C programming solutions and examples.
• OpenCV: Code for computer vision tasks.
• Python: Python-based solutions and examples.
• Linux: Linux-related code and commands.

How to Use

1. Clone the repository:

   git clone <repo-link>
   

2. Navigate to the relevant folder based on the topic.
3. Follow the instructions within the respective code files.

Index

1. Embedded C

   • Q1.1) Write an Embedded C program to multiply any number by 9 in the fastest manner.
   • Q1.2) Write a program to print numbers from 1 to 1000 without using relational operators.
   • Q1.3) Write a MIN macro program that takes two arguments and returns the smallest of both arguments.
   • Q1.4) Write a C program to toggle a specific bit (e.g., bit 3) of an 8-bit unsigned integer without changing the other bits. Implement the program using bitwise operations.
   • Q1.5) Program to Add Two Complex Numbers
   • Q1.6) Write a simplified Algorithm as code, a hardware-independent Embedded C program using FreeRTOS that accomplishes the following: Create three tasks:
     • FrameCaptureTask (Priority: High)
     • FaceRecognitionTask (Priority: Medium)
     • LoggerTask (Priority: Low)

2. C/C++ Language

   • Q2.1) Write a program to implement a stack that allows users to perform push, pop, and display operations on it.
   • Q2.2) Write a program to convert 545 numbers from Decimal to Binary.
   • Q2.3) Find the GCD of two numbers.
   • Q2.4) Reverse and uppercase a string (C++ Console Program).
   • Q2.5) Write a C++ program to check whether a number is even or odd without using % or /.

3. OpenCV

   • Q3.1) Play a video using OpenCV (external camera).
   • Q3.2) Find circles and ellipses in an image using OpenCV.