A Dynamic Budget Planner

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prerequisites
Intermediate Python • basic data handling • willingness to read docs
skills learned
DP budget allocation • Pandas DataFrames • Dynamic programming for budget optimization • Financial data modeling • Visualization with Matplotlib • Tiered fund allocation
1 week · 4-6 hours per week · INTERMEDIATE

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Look inside

Cash is leaking from your company’s budget faster than it can grow—and as a newly assigned financial systems developer, it’s your job to stop the bleeding. In this liveProject, you’ll create a Python-powered smart budget planner that turns vague spending into precise, data-driven allocation. You’ll apply dynamic programming and custom tiered algorithms to optimize fund distribution, build and manipulate structured financial data with pandas and NumPy, and produce visual breakdowns with Matplotlib. The final product: a budgeting system that adapts in real time, highlights opportunities for saving and investment, and brings control to even the most chaotic finances.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Ronnie Rahman
Ronnie Rahman is a Senior Software Developer and an AI engineer with ilem Group in Casablanca in collaboration with Swisstiming in Switzerland where he delivers algorithm-driven software for digital-transformation projects. He earned a BSc (Hons) in Computer Science in AI from the University of Hertfordshire, concentrating on neural networks, robotics, quantum computing, and AI algorithms. A frequent speaker at regional Python and data-science meet-ups, he contributes to open-source performance tools and mentors developers on writing efficient and explainable code.

prerequisites

This liveProject is aimed at Python programmers interested in turning theoretical algorithms into a portfolio of practical applications. To begin you will need to be familiar with:


TOOLS
  • Intermediate Python

TECHNIQUES
  • Algorithm design
  • Financial analysis
  • Pandas
  • NumPy basics
  • Matplotlib

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