Optimize M-Pesa Ledger Management with Automated SolutionsOptimize M-Pesa Ledger Management with Automated Solutions
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Project Title: Seita Financial Management System: M-Pesa Ledger Automation
Project Overview:
Designed and developed a local web-based financial intelligence application tailored for automated mobile money transaction tracking and ledger analysis.
The Problem:
Raw financial statements (like M-Pesa exports) are heavily unorganized, unstructured, and tedious to process manually. Small businesses and individuals waste valuable hours trying to categorize transactions and balance their ledgers.
The Solution:
Built an interactive portal that ingests messy statement uploads (.xlsx / .csv) and instantly runs automated ledger classification. The system cleans raw text inputs, handles transaction types seamlessly, and outputs client-ready structured data for instant financial reporting.
AI AutomationData AnalysisFinancial AnalysisMicrosoft ExcelPythonSQL
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