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How We Built Aura: A Real-Time AI Interview Coach with Gemini Live, ADK, and Vertex AI

This article was created for the purposes of entering the Gemini Live Agent Challenge. #GeminiLiveAgentChallenge 🎙 Try Aura Live 🌐 Live Demo: https://aura-sde-interview-agent-ivhauk7c7a-uc.a.run.app 💻 GitHub Repo: https://…

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This article was created for the purposes of entering the Gemini Live Agent Challenge. #GeminiLiveAgentChallenge






🎙 Try Aura Live



🌐 Live Demo: https://aura-sde-interview-agent-ivhauk7c7a-uc.a.run.app

💻 GitHub Repo: https://github.com/srthorat/aura-sde-interview-agent






The Biggest Barrier Isn’t Skill. It’s Interview Fear.



Many talented candidates get shortlisted for top tech companies, but never reach their full potential in interviews.



Not because they lack technical ability.



Because they lack realistic interview practice.



Mock interviews are expensive, difficult to schedule, and often inaccessible for students outside elite networks or major cities.



Most preparation resources are text-based.



People read. Few truly practice.



We wanted to change that.



So we built Aura — a real-time AI interview coach powered by Google AI models and Google Cloud.



No text box. Just an interview.






⚡ What is Aura?



Aura is a voice-first interview simulator that lets candidates practice technical interviews naturally through conversation.



Candidates can:




  • Practice coding rounds

  • Practice system design rounds

  • Practice behavioral interviews

  • Receive spoken feedback instantly

  • Get live grading updates

  • Return later and continue where they left off



Aura behaves like a real interviewer — not a chatbot.






🧠 Why Voice-First Matters



Interviewing is a spoken skill.



You need to think aloud, structure answers, handle pressure, communicate tradeoffs, and respond in real time.



Typing into a textbox cannot simulate that.



Aura uses live voice conversation so candidates can build confidence under realistic conditions.






🏗 System Architecture



Aura Architecture






Core Stack



Frontend




  • React + Vite

  • LiveKit JS SDK



Transport




  • LiveKit WebRTC for low-latency audio streaming



Backend




  • FastAPI (Python 3.11)

  • Containerized on Cloud Run



AI Layer




  • Gemini Live (gemini-live-2.5-flash-native-audio)

  • Google ADK agent orchestration + tools



Memory Layer




  • Vertex AI session persistence



Infra




  • Cloud Build

  • Artifact Registry

  • Secret Manager






🔊 Why We Chose Gemini Live



We wanted natural, interruptible conversation.

Gemini Live gave us:




  • Real-time bidirectional voice streaming

  • Fast spoken responses

  • Interruption / barge-in handling

  • Tool calling during conversation

  • Native voice experience without stitching multiple systems together
    This made Aura feel like a real interviewer.






🛠 How Google ADK Helped



We used Google ADK to structure interview workflows with reusable tools such as:




  • evaluate_candidate_answer

  • submit_rubric_grade

  • get_round_scorecard

  • get_session_summary


  • end_conversation
    This let us combine model intelligence with deterministic scoring logic.






💾 Persistent Candidate Memory with Vertex AI



Aura supports returning candidates.

It can remember:




  • Previous interview rounds

  • Prior scores

  • Weakness areas

  • Suggested next practice topics

  • Improvement over time
    This transforms Aura from a one-time mock interviewer into a long-term coaching platform.






☁️ Why Cloud Run



We wanted fast iteration and production-ready deployment.

Cloud Run gave us:




  • Containerized deployments

  • Autoscaling

  • Low operational overhead

  • Easy CI/CD integration

  • Reliable public hosting for demos
    Perfect for hackathon speed and startup scalability.






🚀 What We Learned




  1. Voice UX matters more than UI polish

  2. Latency is everything in real-time AI

  3. Persistent memory creates user stickiness

  4. Interview confidence is trainable

  5. Google AI stack dramatically accelerates development






🌍 Bigger Vision



Aura starts with interview coaching.

The same architecture can power:




  • Sales roleplay coaching

  • HR screening simulators

  • Language learning tutors

  • Customer support training

  • Certification prep agents






Closing



We believe the future of learning and preparation will be conversational, adaptive, and always available.

Aura is one step toward that future.



Aura

No text box. Just an interview.




  • #GeminiLiveAgentChallenge #GoogleCloud #Gemini #VertexAI #AI #VoiceAI #Hackathon

CTI Threat Relationship Graph3 Knoten / 2 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
SOC Incident Playbook: Remote Code Execution (RCE) Defense
title: Detect Exploitation - How We Built Aura: A Real-Time AI Interview Coach with Gemini Live, ADK, and Vertex AI
id: 03245ec7-77d1-425c-a7a4-89c9d537a1e6
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-24
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-24"
        description = "YARA Signature for "
    strings:
        $str = "How We Built Aura: A Real-Time" ascii wide
    condition:
        any of them
}
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich How We Built Aura: A Real-Time AI Interv.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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