2024MoneyCash
MoneyCash
Web app that optimises Algerian citizens' expenses using search algorithms (A*, DFS, BFS, hill climbing) plus a genetic algorithm for hyperparameter tuning.
PythonJavaScriptAI Search
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01 — SECTION
The Challenge
Algerian consumers lacked tools to effectively manage and optimize their personal finances and daily expenses amidst fluctuating prices and multiple spending categories.
02 — SECTION
The Solution
Engineered an intelligent web application that applies advanced AI search algorithms and genetic algorithms to analyze spending habits and generate optimal budget allocations.
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Key Features
01
Expense optimization engine utilizing A*, DFS, BFS, and Hill Climbing
02
Genetic algorithm layer for automated hyperparameter tuning of the search models
03
Visual comparison dashboard showing the performance of different AI algorithms
04
Personalized budget recommendations based on income and fixed expenses
04 — SECTION
Impact & Results
Provided users with a sophisticated, AI-driven tool to maximize their purchasing power, demonstrating significant potential savings through mathematically optimized budget planning.