Budget Allocation using Subset Sum Algorithms by Tabrez AhmedBudget Allocation using Subset Sum Algorithms by Tabrez Ahmed

Budget Allocation using Subset Sum Algorithms

Tabrez Ahmed

Backend Engineer

Frontend Engineer

Docker

PostgreSQL

Python

Computer Software

Budget Allocation using Subset Sum Algorithms

Overview:

This project implements various algorithms (Dynamic Programming, Backtracking, Greedy, etc.) to solve budget allocation problems modeled as subset sum. Users can manage projects, assign metadata (priority, risk), and get optimal selections within given budgets. Includes visualization and analytics.

Key Features:

Multiple algorithm implementations with performance comparison

Support for time-phased and multi-department budgets

Priority and risk-based weighted selection

Interactive visualization and analytics dashboard

API for integration with other systems

Tech Stack:

Python (Backend algorithms)

FastAPI (Backend API)

React or Streamlit (Frontend UI)

PostgreSQL (Database)

Docker (Deployment)

How to Run:

    yet to come

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Posted Oct 5, 2025

Implemented algorithms for budget allocation with visualization and analytics.

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