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UDAY YENAGANDULA

Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

UDAY YENAGANDULA — Demo video

Smart Messenger: a chat app with an AI personal assistant you stay in control of The problem Important messages get buried. A manager's "send the report by 4 PM" sits beside forwarded greetings and promotions. Promises made in chat ("I'll share the deck by Friday") are forgotten, and writing the right reply to a boss, a parent or a friend takes time. AI could help with all of this. The usual catch is that it reads all your messages, and nobody else in the chat agreed to that. What we built Smart Messenger is a working one-to-one chat app with five smart features: Behaviour-based ranking: unread chats are ordered by your own habits, meaning how quickly you read each person and how long you spend with them. It uses only timestamps, never message text. Smart priority with AI: for the contacts you choose, the AI scores unread messages for urgency ("deadline today", "forwarded greeting") and moves those chats up or down. Everyone else keeps their habit score. AI assist: tell it what you want to say, and it drafts Short, Detailed and Friendly replies. The tone fits the contact (professional, family or friend) and follows your saved notes and rules. The reply only fills the message box; you still press send. Personal assistant: type or speak tasks such as "Remind me to call the bank Friday at 11", or find tasks in a chat with one tap. The assistant asks when something is unclear and confirms with you before saving. Reminders arrive on time, with Done and Snooze. Memory: notes about each contact and your own rules ("no emojis with managers"). AI-suggested notes are used only after you approve them. Privacy by design AI access is opt-in for each contact and checked on the server. Unknown numbers never reach the AI. Messages, tasks and memory are encrypted in the database (AES-256-GCM). The other person can see when AI priority is on. Built with: React, FastAPI, PostgreSQL, Redis and Meta's muse-spark model through the Meta Model API.

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