Listenify Project Estimation Report Generator

This repository contains a professional project estimation report for the Listenify application - a React/JavaScript project for real-time speech transcription with AI-powered features.

Project Structure

├── assets/                      # Directory containing all images
│   ├── complexity_factors.png   # Complexity factors visualization
│   ├── function_point_breakdown.png # Function point breakdown chart
│   ├── project_timeline.png     # Project timeline visualization
│   ├── risk_matrix.png          # Risk assessment matrix
│   ├── summary_metrics.png      # Summary metrics visualization
│   └── thumbnail.png            # Project logo
├── project_report_enhanced.html # Enhanced HTML report with MathJax support
├── generate_pdf_with_mathjax.js # Node.js script to convert HTML to PDF
├── generate_professional_pdf.bat # Batch file to run the PDF generation
├── project_estimation.py        # Python script to generate report data & charts
├── listenify_project_estimation_professional.pdf # Generated PDF report
├── package.json                 # Node.js dependencies
├── package-lock.json            # Dependency lock file
└── requirements.txt             # Python dependencies

Project Visualizations

Image	Description
	Project overview and executive summary visualization
	Detailed function point analysis breakdown
	Project complexity factors and metrics
	Project timeline and milestone projections
	Risk assessment matrix and mitigation strategies
	Project metrics and KPI summary dashboard

Features

• Comprehensive function point analysis
• Complexity adjustment calculations
• Lines of code (LOC) estimation
• Effort and timeline projections
• Risk assessment visualization
• Project timeline visualization
• Summary metrics with visualizations
• Professional PDF generation with MathJax equation rendering

Prerequisites

For Python Charts Generation:

pip install -r requirements.txt

For PDF Generation:

npm install

Usage

To regenerate the charts:

python project_estimation.py

To generate the PDF from HTML:

node generate_pdf_with_mathjax.js

Or run the batch file:

.\generate_professional_pdf.bat

Report Contents

• Executive Summary
• Function Point Analysis
• Complexity Adjustment
• LOC Estimation
• Effort & Timeline
• Risk Mitigation Strategies
• Summary Metrics
• Optimization Possibilities
• Conclusion

ASSISTED BY AI - OMAR ABBAS