Interactive Excel Dashboard Platform
Budget: ₹12,500 – ₹37,500 INR
I need a full-stack, web-based platform that lets users upload Excel or CSV files and instantly explore their data through interactive dashboards.
Core requirements
• Secure file upload with size limits, virus scan, and storage in PostgreSQL or S3.
• Intermediate data cleaning and validation in Pandas—deduplication, missing-value handling, normalization, and data-type conversion.
• Automatic generation of bar, line, and pie charts rendered with Plotly.js or Chart.js.
• Real-time performance metrics visible on every dashboard.
• Role-based access (Admin, User) with email-and-password authentication.
• Front-end in React.js styled for clarity and ease of use; back-end REST API in Django + Django REST Framework.
• Export any chart or full dashboard to PDF, PNG, or Excel.
Deliverables
1. Complete source code for front-end and back-end.
2. Deployed, tested instance on AWS or Render with CI/CD scripts.
3. Installation, environment, and user documentation.
I’ll supply the AWS or Render credentials and an empty PostgreSQL database; everything else, from architecture to final deployment, is part of this engagement. Clean, commented code and a brief hand-off call will mark project completion.
Core requirements
• Secure file upload with size limits, virus scan, and storage in PostgreSQL or S3.
• Intermediate data cleaning and validation in Pandas—deduplication, missing-value handling, normalization, and data-type conversion.
• Automatic generation of bar, line, and pie charts rendered with Plotly.js or Chart.js.
• Real-time performance metrics visible on every dashboard.
• Role-based access (Admin, User) with email-and-password authentication.
• Front-end in React.js styled for clarity and ease of use; back-end REST API in Django + Django REST Framework.
• Export any chart or full dashboard to PDF, PNG, or Excel.
Deliverables
1. Complete source code for front-end and back-end.
2. Deployed, tested instance on AWS or Render with CI/CD scripts.
3. Installation, environment, and user documentation.
I’ll supply the AWS or Render credentials and an empty PostgreSQL database; everything else, from architecture to final deployment, is part of this engagement. Clean, commented code and a brief hand-off call will mark project completion.
Related categories:
JavaScript
Python
Django
PostgreSQL
AngularJS
React.js
Chart.js
Pandas
Microsoft PowerBI