Azure Developer for Financial Management System
Budget: $750 – $1,500 CAD
Project Summary:
We are seeking an experienced Azure developer to create a cloud-based document management and financial insights system for our accounting firm. This system will allow clients to securely upload financial documents, such as invoices and receipts, through a user-friendly web app. The uploaded documents will be processed with OCR and machine learning to categorize transactions, enabling comprehensive budgeting, cash flow management, and forecasting features. Clients will access these insights through a dashboard, complete with notifications and data visualizations.
Key Project Components:
1. Secure Client Document Upload: Develop a web app where clients can log in and upload documents, with files stored in Azure Blob Storage.
2. Automated Document Processing: Use Azure Form Recognizer to perform OCR and extract data from uploaded files.
3. Transaction Categorization: Implement a machine learning model in Azure to categorize transactions based on extracted data.
4. Budgeting and Cash Flow Management: Build features for tracking budgets, cash flows, and setting up notifications for budget limits.
5. Forecasting and Scenario Analysis: Develop a forecasting model to project future cash flows and allow clients to conduct scenario analysis.
6. Client Dashboard with Visualizations: Create a dashboard using Power BI Embedded for a real-time view of categorized transactions, cash flow, and forecasts.
Deliverables:
• Fully developed web app for secure document upload.
• Automated backend processing for data extraction and transaction categorization.
• Budgeting, cash flow management, and forecasting tools.
• Comprehensive client dashboard with real-time insights and data visualizations.
• Documentation and user training materials.
We are seeking an experienced Azure developer to create a cloud-based document management and financial insights system for our accounting firm. This system will allow clients to securely upload financial documents, such as invoices and receipts, through a user-friendly web app. The uploaded documents will be processed with OCR and machine learning to categorize transactions, enabling comprehensive budgeting, cash flow management, and forecasting features. Clients will access these insights through a dashboard, complete with notifications and data visualizations.
Key Project Components:
1. Secure Client Document Upload: Develop a web app where clients can log in and upload documents, with files stored in Azure Blob Storage.
2. Automated Document Processing: Use Azure Form Recognizer to perform OCR and extract data from uploaded files.
3. Transaction Categorization: Implement a machine learning model in Azure to categorize transactions based on extracted data.
4. Budgeting and Cash Flow Management: Build features for tracking budgets, cash flows, and setting up notifications for budget limits.
5. Forecasting and Scenario Analysis: Develop a forecasting model to project future cash flows and allow clients to conduct scenario analysis.
6. Client Dashboard with Visualizations: Create a dashboard using Power BI Embedded for a real-time view of categorized transactions, cash flow, and forecasts.
Deliverables:
• Fully developed web app for secure document upload.
• Automated backend processing for data extraction and transaction categorization.
• Budgeting, cash flow management, and forecasting tools.
• Comprehensive client dashboard with real-time insights and data visualizations.
• Documentation and user training materials.
Related categories:
Machine Learning (ML)
Frontend Development
Process Automation
Data Management
Azure OpenAI