🚀 SUDATA Hackathon 2026 — Project Story

🌟 Inspiration

We were inspired by the gap between raw data and actionable insight. Platforms like YouTube generate large amounts of data, but most creators struggle to interpret it effectively.

We wanted to build a system that simplifies this by extracting meaningful trends.

🧠 What We Learned

• Data preprocessing is critical — messy data affects everything downstream
  
• Speed matters — shipping a working product > perfect design
  
• Full-stack integration is complex — frontend, backend, and deployment must align
  
• Team coordination is key — clear roles improved efficiency
  

🏗️ How We Built It

System Overview

• Data Layer: Collects and cleans trend data
  
• Frontend Dashboard: Displays insights in a clear, minimal interface
  

Tech Stack

• Frontend: Web framework (React/Next.js)
  
• Backend: Node.js API
  
• Data Processing: Python
  
• Deployment: Cloud VM + Nginx
  

⚠️ Challenges

• Time constraints → prioritised core features
  
• Data inconsistency → required preprocessing
  
• Deployment issues → server configuration and routing
  
• Scope control → reduced to essential functionality
  

🏁 Conclusion

This project demonstrated that:

Good systems don’t just display data — they turn it into insight.

We built an end-to-end pipeline that transforms raw data into meaningful decisions under tight time constraints.

Built With

• javascript
• nginx
• node.js
• oracle
• python
• react