Inspiration

What it does

How we built it

Challenges we ran into Handling varied email formats and structures.

Ensuring summaries preserved critical information without losing context. Avoiding AI hallucinations—making sure the summaries were always accurate. Integrating the AI agent smoothly with email clients while keeping privacy intact.

Accomplishments that we're proud of Achieved 90%+ accuracy in highlighting key points in test emails.

Built a real-time summarization system that works in under 2 seconds per email. Developed a user-friendly interface for instant integration with Gmail and Outlook. Received positive beta feedback for clarity and time-saving impact

What we learned NLP is powerful but requires careful tuning for real-world text like emails.

Users value accuracy over brevity—cutting too much can lose context. Privacy and data security are non-negotiable when handling personal communications. Iterating with real users early uncovers subtle but critical UX issues.

What's next for EmailSummerizer we are planning and focused to integrate more services for automation

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