Campaign & AI Agent Communication Platform for Insight AI

As a Full-Stack Developer for InsightAI, I worked on an enterprise-level campaign management and communication platform that streamlined workflows and enhanced organizational efficiency. This project required expertise across frontend (Next.js, React) and backend (Python, Django) codebases to deliver a seamless, high-performing, and secure system.

Here’s what I built:

Custom Campaign Setup: Enabled users to create campaigns with configurable parameters like objectives, target audiences, and detailed profiling.

Real-Time Monitoring: Developed a dashboard for tracking campaign status, analytics, and performance metrics.

Flexible Visualization: Designed dynamic view modes (grid/list) for intuitive campaign overviews.

Advanced Contact Handling: Created a hierarchical system for managing contacts in pools with batch processing, filtering, and sorting capabilities.

Import/Export & Validation: Integrated custom contact import/export functionalities with error handling and data verification.

Node-Based Scripts: Implemented ReactFlow to create node-based workflows with conditional logic, enabling dynamic agent scripting.

Performance Tracking: Developed tools for monitoring agent performance and workflow testing.

Team & Role Management: Built role-based access control with an invitation system for new members and customizable user profiles.

Resource Management: Added a repository system for file storage, a knowledge base, calendar integration, and custom webhook configurations.

Frontend: Built with Next.js 13+ App Router, leveraging TypeScript for type safety, responsive design, and modular components like custom badges, modal systems, and search interfaces.

Backend: Developed robust RESTful APIs with Django, complete with error-handling middleware, JWT authentication, and role-based access control.

Implemented visual workflows with ReactFlow, allowing users to create automated, condition-based processes for better efficiency.

Search & Filter System: Delivered advanced search and dynamic filtering capabilities for enhanced data exploration.

Notifications: Added real-time toast notifications for errors, updates, and confirmations using Sonner.

File Management: Built version-controlled file upload/download capabilities integrated with a knowledge base.

Security: Implemented input validation, secure authentication flows, protected routes, and endpoint security.

Performance: Leveraged lazy loading, pagination, optimized API calls, and caching strategies to ensure the platform could handle large datasets efficiently.

This project reflects my ability to build scalable, modular, and secure systems that prioritize user experience and enterprise-level performance. It was a rewarding challenge to bridge frontend elegance with backend power for a truly comprehensive platform. 🚀

Demo: