Problem-Solving

A curated collection of algorithms, AI models, and problem-solving implementations demonstrating practical programming skills in Python and C++.

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Overview

This repository is designed to showcase:

• Strong problem-solving ability
• Understanding of core computer science concepts
• Hands-on experience with AI and numerical computing
• Clean and structured coding practices

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Project Structure

├── AI Model code/       # Basic AI/ML implementations
├── C++/                # C++ problem-solving codes
├── Level 1/            # Beginner-level problems
├── Level 2/            # Intermediate problems
├── basics/             # Python fundamentals (strings, loops, etc.)
├── Numpy/              # Numerical computing with NumPy
├── OS_Algorithms/      # Operating system algorithms (e.g., SJF)
├── Tuples/             # Python tuple operations
├── linear_algebra/     # Linear algebra implementations
└── README.md

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Skills Demonstrated

• Data Structures & Algorithms
• Problem Solving (Competitive Programming style)
• Python Programming
• C++ Programming
• NumPy & Linear Algebra
• Operating System Algorithms
• Code Organization & GitHub Practices

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Technologies Used

• Python
• C++
• NumPy

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Purpose

This repository serves as:

• A learning archive
• A portfolio for recruiters
• A base for future AI and software development projects

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Future Improvements

• Add advanced AI/ML models
• Improve documentation for each folder
• Include real-world mini projects
• Add problem explanations

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Author

Jannatul Ferdaues Aspiring AI Engineer | Problem Solver

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