Email AI

Reclaim your time — let AI manage your inbox.

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Inspiration

Our team was inspired by a simple but universal frustration — email overload. Professionals today spend hours each day sorting through cluttered inboxes, trying to find what’s actually important. Many of us personally receive over 100 emails every morning, and it often feels impossible to keep up. We wanted to build something that could help people focus on meaningful work instead of drowning in their inbox.

What it does

Email AI is a Chrome extension that helps professionals manage and respond to emails more efficiently. It automatically:

  • Organizes incoming emails into actionable labels like Respond, Notification, or Advertisement.
  • Filters out spam, marketing, and AI-generated junk, highlighting what truly needs attention.
  • Generates ready-to-send draft replies in the user’s tone and language using built-in AI models.

In short, it reduces inbox chaos and saves hours every week by turning email management into a smooth, automated process.

How we built it

We built Email AI as a Chrome extension integrated with Gmail’s interface. Under the hood:

  • We used Summariser AI to understand email content and context.
  • The Writer API then classifies and drafts suitable responses.
  • Language Detector and Translator APIs ensure replies are written in the correct language.
  • All AI models are hosted locally, which enhances privacy, security, and response speed.
  • The frontend dashboard was built using modern web technologies with a clean, intuitive interface for productivity tracking, label management, and settings.

Challenges we ran into

One of the biggest challenges was balancing accuracy and speed — we wanted classification and draft generation to feel instant while maintaining high quality. We also faced difficulties in fine-tuning the models to understand subtle differences between email types (for example, separating notifications from low-priority requests). Finally, designing a simple but powerful UI that works seamlessly inside Gmail without overwhelming users took several iterations.

Accomplishments that we're proud of

We’re proud that Email AI can already process dozens of emails per sync and generate natural, context-aware drafts automatically. Our system saves users an average of 1.7 minutes per email, which adds up to over 2 hours saved per day in tests. We’re also proud that all processing runs locally, protecting user privacy — a feature often missing in productivity tools.

What we learned

We learned that automation is powerful only when it feels human and trustworthy. Building this project taught us how to combine multiple AI capabilities — summarization, classification, and translation — into a cohesive user experience. We also realized that clear UX design and explainability are just as important as model performance.

What's next for Email AI

Next, we plan to:

  • Add calendar and task integration, turning action emails directly into to-dos or events.
  • Introduce team collaboration features, like shared templates and analytics.
  • Expand support to Outlook, Apple Mail, and mobile apps.
  • And continue optimizing local AI models for even faster and smarter email handling.

Ultimately, our goal is to make Email AI the go-to productivity assistant for professionals everywhere — helping people reclaim their time and inbox sanity.

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