EngageIQ : Social Media Performance Analysis

Designed With 😇 :

• Git
• Github
• JavaScript
• Nextjs
• Nodejs
• Postman
• React
• Tailwind
• Vercel
• Vscode
• Webpack

Description

EngageIQ is a next-gen social media analytics platform that combines DataStax Astra DB and AI-driven insights to:

• Optimize content strategies with actionable, data-driven recommendations.
• Monitor real-time engagement metrics across various post types.
• Automate data analysis to save time and improve efficiency.
• Protect brand reputation by identifying trends and issues quickly.
• Enhance decision-making with beautiful, intuitive visualizations.

Achieve higher ROI and stay ahead in the competitive social media landscape with EngageIQ.

GitHub Link 🔗

• https://github.com/codewithdinesh/EngageIQ

Deploy Link 🔗

• https://iq-engage.vercel.app/

Problem it solves 🙅‍♂️

• EngageIQ streamlines social media management by addressing challenges like data overload, content strategy optimization, and real-time engagement monitoring. It provides automated insights, live analytics, and intuitive visualizations, empowering users to enhance performance and safeguard brand reputation effortlessly.

Challenges I ran into 🙅‍♂️

• Developing EngageIQ involved tackling Langflow's workflow complexities and ensuring seamless integration with DataStax Astra DB. By iterating on dynamic workflows and optimizing database querying, the platform now delivers robust performance and actionable insights.