BrandPulse: Real-Time Social Media Monitoring at Scale
Welcome to BrandPulse, a MVP that processes 700,000 social media posts per second to deliver real-time brand sentiment insights. Built with Node.js, Kafka, and InfluxDB, this platform simulates a flood of tweets about "SuperCoffee," proving my ability to design scalable, high-performance systems.
What It Does
BrandPulse solves the problem of delayed brand monitoring by providing instant visibility into how people feel about a brand—positive, negative, or neutral. Key features include:
- Protect Revenue: Detect crises (e.g., negative spikes) in seconds.
- Boost Sales: Identify positive trends to amplify quickly.
- Scale Big: Handle massive volumes for global brands.
Explore More
Dive into the details of the project:
- Problem Statement - Why brands need this now.
- Use Cases - Real-world applications and scenarios.
- Technical Architecture - How it’s built under the hood.
- Implementation Details - Code and design decisions.
- Value Proposition - Business impact and personal growth.
- Future Enhancements - What’s next for BrandPulse.
- Why It Rocks - Portfolio highlights and key takeaways.
- Demo - See it in action.
Why This Matters
For businesses, BrandPulse is a game-changer in reputation management. For me, it’s a testament to my ability to architect real-time systems that handle massive data—making it a standout piece for roles in system architect or data engineering.