Python Programming Internship

Title: CSEdge Python Programming Internship Tasks
Subtitle: CSEdge Internship Program
Author: Team CSEdge
Level: Easy, Medium, Hard
Questions per Level: 4
Total Questions: 12
Last Modified Date: 04/06/2024

Setup

To get started with the projects, follow these steps:

1. Clone the repository to your local machine using the command:

   git clone https://github.com/CSEdgeOfficial/CSEdge-Python-Programming-Internship
   

2. Navigate to the cloned directory:

   cd CSEdge-Python-Programming-Internship
   

3. Create a new folder with your full name to store your projects:

   mkdir YourFullName-with-level && cd YourFullName-with-level
   

4. Begin working on the tasks within your named folder.

Table of Contents

Introduction

Welcome to the Python Programming Internship with CSEdge! During this journey, you'll tackle various tasks aimed at expanding your knowledge and expertise in Python programming. This document presents 12 tasks divided into three categories—Easy, Medium, and Hard.

Instructions

• Attempt the tasks according to their difficulty level, beginning with the easiest ones.
• Focus on solving only one category—Easy, Medium, or Hard—for now.
• Write functions, classes, modules, tests, and documentation where required.
• Keep your code organized, modular, and easy to read.
• Comment your solutions thoroughly, explaining how they work and why you made certain decisions.
• Save your finished work in appropriately labeled folders under your named folder.
• Push your entire collection of source codes, along with necessary instructions, to your designated repository on your personal Github account.

Evaluation Criteria

• Correctness of implemented algorithms and logic
• Quality of code (structure, comments, naming conventions, etc.)
• Performance and optimization efforts
• Efficient use of external libraries when needed
• Problem-solving creativity and originality

Now let's dive into the tasks!

Easy Level Tasks:

1. Web Scraping Tool with BeautifulSoup:

   • Develop a web scraping application using Python's BeautifulSoup library. Extract data from a website and present it in a structured format (e.g., CSV, JSON).

2. Basic Chatbot with NLTK:

   • Build a simple chatbot using Natural Language Toolkit (NLTK) for text processing and response generation. The chatbot should be able to engage in basic conversation and answer frequently asked questions.

3. Task Management Web App with Flask:

   • Create a web-based task management application using Flask framework. Users can register, log in, add tasks, mark them as complete, and delete tasks.

4. Voice Recorder with PyAudio:

   • Develop a voice recording application using PyAudio library. Users can record, playback, and save audio recordings in different formats.

Medium Level Tasks:

1. Image Classification with TensorFlow/Keras:

   • Train a deep learning model to classify images using TensorFlow and Keras. Use a pre-trained model or build your own convolutional neural network (CNN).

2. Real-time Object Detection with OpenCV:

   • Create a real-time object detection application using OpenCV library. Use pre-trained models like YOLO (You Only Look Once) to detect objects in live video streams.

3. Web Development with Django:

   • Build a web application from scratch using Django framework. Implement features such as user authentication, CRUD operations, and RESTful APIs.

4. Sentiment Analysis Web App with TextBlob:

   • Develop a sentiment analysis web application using TextBlob library. Users can input text, and the application will analyze the sentiment (positive, negative, neutral).

Hard Level Tasks:

1. Real-time Facial Recognition with dlib:

   • Implement a real-time facial recognition system using dlib library. Train the model to recognize faces and perform tasks like attendance tracking or access control.

2. Speech Recognition System with DeepSpeech:

   • Build a speech recognition system using Mozilla's DeepSpeech library. Convert spoken language into text and perform actions based on recognized commands.

3. E-commerce Platform with Django and Stripe:

   • Create a full-fledged e-commerce platform using Django framework. Integrate payment processing with Stripe API for secure transactions.

4. Intelligent Virtual Assistant with Rasa:

   • Develop an intelligent virtual assistant using Rasa framework. The assistant should understand user queries, perform actions like opening applications or searching the web, and provide informative responses.

FAQ

How can I overcome obstacles faced during tasks in my named folder?

Should you encounter issues during tasks within your named folder, don't hesitate to raise concerns in the repository's Issue Tab by opening an issue ticket. Our team will swiftly attend to your needs.

Can I utilize other resources to better comprehend these tasks?

Yes, indeed! Look up authoritative references such as the official documentation and reliable tutorials on sites like YouTube, FreeCodeCamp, Udemy, or Coursera. Moreover, delve into stack overflow discussions addressing typical challenges developers confront.

Must I strictly abide by deadlines for tasks residing within my named folder?

While firm deadlines aren't imposed, consistent progression through tasks helps optimally absorb concepts and harness acquired skills effectively. By keeping pace, you ensure steady advancement over the internship duration.

Finishing Up

By actively engaging in these tasks and arranging outcomes within your named folder, you fortify indispensable abilities pivotal to triumph in genuine software engineering scenarios. Have fun, and excel in your coding venture!