Backrr: A Modern Sponsorship Management Platform with KendoReact

This is a submission for the KendoReact Free Components Challenge.

What I Built

Backrr is a comprehensive sponsorship management platform that connects content creators with potential sponsors. Built with Next.js 15, TypeScript, and KendoReact components, it provides a seamless experience for managing sponsorship opportunities.

Key features:

• Sponsor listing creation and management
• Detailed sponsorship opportunity views
• Application management system
• User profile management
• Dashboard with analytics

Demo

Live Demo: backrr.vercel.app

Github: https://github.com/sid-js/backrr

KendoReact Experience

Here's a detailed breakdown of how I utilized KendoReact's free components:

Layout Components

• AppBar - Main navigation header with user profile and notifications
• AppBarSection - Organizing navigation elements and logo
• Drawer - Sidebar navigation with collapsible functionality
• DrawerContent - Content container for the sidebar menu ### Data Display
• Grid - Used in sponsor listings management with sortable columns and custom actions
• GridColumn
• Customized columns for sponsor data display
• Card/CardBody/CardHeader - Used throughout the application for:
  • Sponsor listing details
  • User profile information
  • Dashboard analytics cards
  • Application forms

Form Elements

• Input - Used in:
  • Authentication forms (login/signup)
  • Sponsor listing creation
  • Profile editing
• Button - Throughout the application with different themes:
  • Form submissions
  • Navigation actions
  • CRUD operations
• TextArea - For description fields in sponsor listings

  Feedback & Notifications

• Notification - User feedback for:
  • Form submissions
  • Error messages
  • Success confirmations
• NotificationGroup - Managing multiple notifications
• Badge - Notification indicators in the navigation

  Navigation

• TabStrip/TabStripTab - Admin interface organization:
  • Application management
  • Listing editing
  • Profile sections

User Interface

• Avatar - User profiles and sponsor logos
• Chip - Displaying:
  • Sponsorship categories
  • Budget amounts
  • Industry tags

AIm to Impress

Our platform integrates AI technology specifically for enhancing the sponsorship application process through AI-Generated Application Notes. Here's how we implemented this feature:

AI Application Note Generation

The feature is implemented in SponsorApplicationForm.tsx, where we use an AI model to help users create compelling application notes based on their profile data and the sponsorship listing details.

Implementation Process:

1. Data Collection

   • User profile information (audience size, industry, social links)
   • Sponsorship listing details (requirements, budget, target audience)
   • User's initial application draft

2. AI Integration
   I used OpenRouter API to integrate the LLM Model to generate the application Note.

3. User Interface Integration

4. "Generate with AI" button in the application form

5. Real-time preview of generated content

6. Ability to edit and customize the AI-generated note

Comments

[nazim akkal]

Good Work!