Instructions:
For Python Programming Internship, you will need to complete any one (either Level 1, Level 2, or Level 3) as per your convenience for successful completion of the internship.
If you have completed Level 3, you will be eligible for a Letter of Recommendation.
Program Objective:
The Python Programming Internship is designed to provide hands-on experience through practical tasks that help enhance your Python programming skills in various domains. Upon completion, you will have developed key skills in the following areas:
| Area | Skills Developed |
|---|---|
| Basic Python Programming | Learn Python syntax, data structures, and libraries. |
| Web Scraping | Collect and manage data from online sources using libraries like BeautifulSoup or Selenium. |
| Data Management | Work with databases (e.g., SQLite) and manipulate data in formats like JSON, CSV. |
| Automation | Automate repetitive tasks such as to-do lists, reminders, and job tracking. |
| Machine Learning Basics | Implement basic machine learning models, such as skill recommendation systems. |
| Web Development | Create web-based applications using frameworks like Flask and Django. |
| Data Visualization | Visualize data and generate reports using libraries like Matplotlib and Seaborn. |
Level 1 Tasks
Task 1: Resume Builder Tool
Create a Python application where users can input their details such as name, education, skills, and experience, and generate a professional-looking resume in PDF format. Use libraries like `Fpdf` or `ReportLab` to format and export the resume.
Task 2: Automated To-Do List
Build a Python program to manage tasks. Allow users to add, remove, and update tasks. Save the tasks in a local file (e.g., CSV or JSON) to ensure persistence. Optionally, add a feature to set reminders using libraries like `schedule` or `datetime`.
Level 2 Tasks
Task 1: Web Scraping for Job Listings
Develop a Python script that scrapes job postings from websites like Indeed or LinkedIn (use public APIs if available). The script should extract job titles, companies, locations, and links. Display the information in a user-friendly format, such as a CSV file or a simple web interface.
Task 2: Skill Recommendation System
Create a program that suggests additional skills to learn based on a user’s current skill set. Use a predefined dataset and Python libraries like `scikit-learn` for recommendations. This project demonstrates machine learning fundamentals and showcases predictive analytics skills.
Level 3 Tasks
Task 1: Job Application Tracker
Develop a Python-based Job Application Tracker with the following features:
- Allow users to input job details (e.g., company name, role, date applied, application status).
- Use a database (e.g., SQLite) to store and manage the data.
- Provide visual analytics (e.g., number of jobs applied to, offer conversion rates) using Matplotlib or Seaborn.
- Create an intuitive interface using Flask or Tkinter.
Task 2: Personal Finance Dashboard
Build a dashboard application to track personal finances. Include the following features:
- Allow users to input income, expenses, and savings goals.
- Generate reports and visualizations to track monthly progress.
- Integrate with APIs to fetch live currency exchange rates or stock prices.
- Create a web interface using Flask or Django for better user interaction.