AI Financial & ESG Reporting Automation Platform

By Subham Das · Educator / Coach

Price: ₹55 — pay securely with UPI, card or net banking.

Category: Software Tools & Apps

Format: Project File — instant download after payment.

AI Financial & ESG Reporting Automation Platform A production-oriented AI Financial & ESG Reporting Automation Platform designed to automate financial KPI analysis, ESG data processing, emissions calculations, validation, and professional report generation. Users can enter business data through the provided Excel template, upload it to the platform, and generate a Finance + ESG Assessment Report. Key Features Financial KPI calculations and analysis ESG data collection and validation Configurable emissions calculations Excel-based data input Automated PDF report generation Dashboard for financial and ESG metrics REST API with interactive API documentation Authentication and database architecture Audit/evidence-oriented reporting structure Docker-based deployment How to Open & Run Requirements Windows 10/11 Docker Desktop VS Code (recommended) Internet connection 1. Extract the ZIP file Extract AI_Finance_ESG_Platform_Excel_Integrated_Docker.zip to a folder on your computer. 2. Open the project Open the extracted project folder in VS Code. 3. Start Docker Desktop Make sure Docker Desktop is running and verify that Docker Engine is active. 4. Open the VS Code Terminal Go to: Terminal → New Terminal Then run: copy .env.example .env 5. Start the application Run: docker compose up --build Wait until the services finish building and starting. 6. Open the application Open your browser and visit: http://localhost API documentation is available at: http://localhost/api/docs 7. Use the Excel workflow Open: templates/Finance_ESG_Input_Template.xlsx Enter your company's financial and ESG data in the appropriate sheets, save the file, and upload it through the Excel processing API. The generated output is a: Finance + ESG Assessment Report (PDF) Important This package is provided as a self-hosted Docker application. Buyers should use demo/test data while evaluating the product.

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