Aya
A Voice Assistant Built for Moments When Typing Gets in the Way
Team: Lantec
Hackathon: Techvoot AI Hackathon 2026
Category: Voice AI | Productivity & Task Assistance
Aya is a real-time, voice-first AI assistant designed to help users stay productive without typing, supporting natural, conversational interactions and context-aware responses.
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What Aya Actually Is?
What Aya Actually Is?
Aya is a voice-first AI assistant built for natural, conversational interaction.
You speak. Aya listens, understands, and responds immediately.
No rigid commands. No scripted prompts. No need to stop what you’re doing just to “use” the assistant.
YWhether it’s answering questions, helping with tasks, or supporting quick decisions, Aya fits into the moment instead of demanding your attention.
Why the Team Choose This Problem?
Why the Team Choose
This Problem?
Most AI assistants are technically impressive but emotionally distant.
- Commands are precise
- Inputs are typed
- Context is carefully framed
They work well when:
But real users don’t speak in commands. They talk mid-thought. They change direction. They ask follow-up questions without realising they’re doing it.
Team Lantec noticed that voice interaction often breaks not because AI can’t respond, but because it can’t keep up with how humans actually speak. Aya was built to meet users where they are, not where software expects them to be.
How Aya Works in Practice?
Aya isn’t designed around features. It’s designed around flow.
Resume Intake
Users interact with Aya entirely through voice.
There’s no need to memorise commands or structure requests carefully. Aya listens to conversational speech, understands intent, and responds in a tone that feels steady and present, not robotic or overly cheerful.
The goal is simple: make talking to AI feel normal.
Resume Evaluation
Aya is built for immediacy. Ask a question. Request help. Clarify something mid-task. Responses are fast enough to keep momentum going, which matters more than people realise. When there’s no pause to “wait for the system,” users stay focused instead of context-switching.
Clear Scoring
Aya shines in situations where screens get in the way:
- Multitasking environments.
- Hands-busy workflows.
- Quick decision-making moments.
- Idea exploration through conversation.
Instead of pulling users into an interface, Aya stays in the background, ready when needed.
Voice Interviews
Aya doesn’t treat every request as isolated.
It tracks conversational context, understands follow-ups, and adjusts responses naturally. If a user builds on a previous question, Aya keeps up, without needing to be reminded.
This reduces repetition and makes interactions feel continuous instead of fragmented.
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Talk to Our Experts TodayWhat Makes Aya Feel Different?
What Makes Aya Feel Different?
Aya isn’t trying to be everything.
- Easy to talk to.
- Fast to respond.
- Reliable in real-time moments.
It doesn’t overload users with features or overexplain itself. It focuses on being:
That restraint is intentional. The team prioritised how the assistant feels to use, not how impressive it sounds on paper.
The Technology Behind the Scenes
- Backend: Python
- Voice Processing: Real-time speech recognition and response handling
- AI Logic: Conversational intent understanding and context tracking
- Frontend / Interface: Minimal interaction layer focused on voice flow
Solution Walkthrough
Voice Interaction Interface
Aya opens in a voice-ready state, allowing users to start speaking immediately without navigating menus or typing input. The interface stays minimal to keep focus on conversation, not controls.
Live Voice Capture & Response
Users press the mic button to speak, and Aya processes input in real time. Spoken queries are converted into responses without noticeable delay, keeping interactions fluid and uninterrupted.
Real-Time Availability Indicators
The interface displays key operational data such as beds available, doctors on duty, and emergency status. This allows users to make informed decisions quickly during critical moments.
Usage & Interaction Stats
The “View Stats” option provides visibility into interaction metrics, helping teams understand how the assistant is being used and where improvements may be needed.
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