How we built it

How We Built It Inspiration [Explain why you started this project. Example:] "We noticed that [problem you identified]. Existing solutions were [inefficient/expensive/inaccessible], so we set out to build a better alternative."

Tech Stack We chose:

Frontend: React/Flutter/Vue.js

Backend: Node.js/Python/Django

Database: PostgreSQL/Firebase/MongoDB

[Special Tech]: Blockchain/ML APIs/IPFS

Challenges we ran into

  1. Technical Hurdles [Challenge] – [e.g., "Real-time syncing across devices was unreliable."]

Solution: We switched from WebSockets to a more stable protocol.

[Challenge] – [e.g., "Our AI model had high latency."]

Solution: We optimized the model and used edge computing.

  1. Unexpected Roadblocks

Solution: We built our own lightweight alternative.

What we learned

✔ Optimization is an Ongoing Process Our first version had slow load times due to unoptimized queries.

Lesson: Profile performance early and optimize bottlenecks (DB indexing, caching, etc.).

✔ Clear Communication Prevents Chaos Misaligned expectations caused two team members to work on the same feature.

Lesson: Daily standups and task-tracking tools (Jira/Trello) are essential.

✔ Simplicity Wins Our first UI was over-engineered—users got confused.

Lesson: "Do one thing well" beats a bloated feature list. ✔ Mentorship Accelerates Learning A senior dev’s advice saved us weeks of debugging.

Lesson: Don’t hesitate to ask for help.

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