AutoTweet AI

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✨ About the Project: AutoTweet AI

🎯 Inspiration

I wanted to make it effortless for people to share what they're watching and learning on YouTube—especially creators, learners, and curious minds. But typing out summaries and tweets manually is tedious, and most people skip it. So I thought: What if AI could do it for you? AutoTweet AI was born to bridge that gap between passive watching and active sharing—using AI and Twitter integration.

🧠 What I Learned

Deepened my understanding of Twitter/X API (OAuth, posting tweets programmatically)
Gained hands-on experience in extracting meaningful content from long-form videos using AI
Refined prompt engineering and content summarization with OpenAI
Learned how to streamline user flows for minimal friction (Twitter login → video paste → auto-post)

🛠️ How I Built It

Frontend: React with TailwindCSS
Backend: Node.js with Express
Authentication: Twitter OAuth flow via Twitter Developer API
AI Summary Generation: OpenAI’s GPT-4 to extract key points and create tweet-worthy text
YouTube Video Processing: Used YouTube Data API and transcript parsing tools
Database: Firebase Firestore (for storing auth tokens and post history)

🚧 Challenges Faced

Handling rate limits and permissions with Twitter’s API
Summarizing long and diverse YouTube content into tweet-sized formats that still make sense
Ensuring the tone of the tweet stays human-like and relevant to the original content
Managing OAuth tokens securely, especially during local testing