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Blabber AI

Blabber is a conversational language-learning app built around an interactive AI avatar. Instead of memorizing phrases, learners speak naturally, get instant corrections, and build confidence through real dialogue. The experience adapts to skill level and goals travel, business, exams, or general fluency and keeps progress visible with analytics and gentle nudges.

Services
App Design & Development
Business Type
EdTech / Language Learning
The story

From brief to launch

Three chapters that shaped how this project came together.

01
Brief

Project Idea

Traditional language apps are great for drills but struggle to replicate a real conversation. Learners need a safe space to practice speaking, make mistakes, and get immediate, actionable feedback. The idea behind Blabber was to put a lifelike AI tutor in your pocket always available, always patient so users can practice anytime, anywhere. The AI adapts to level and goals, highlights pronunciation and grammar issues in the moment, and tracks growth over time. For schools and teachers, the app needed to align with textbooks and units, making it easy to reinforce classroom learning without creating extra admin.

02
Build

Development

We built the application to deliver low-latency, two-way conversations with clear, human-sounding speech. Mobile clients handle camera/mic permissions and stream audio; a real-time pipeline processes speech-to-text, runs intent and feedback models, and returns synthesized responses with pronunciation and grammar notes. A curriculum service maps lessons to CEFR levels, exam prep, and travel/business scenarios, while personalization logic adapts prompts and difficulty based on recent performance. Authentication, push, and analytics keep users engaged; role-aware flows support learners, teachers, and admins; and COPPA-minded data handling keeps sessions private and controlled. The interface focuses on clarity Zoom-like sessions, progress snapshots, and quick entry points to review key vocabulary so practice feels natural, not heavy.

03
Outcome

The Solution

The result is a live, interactive learning companion that feels like practicing with a tutor who never gets tired. Learners enter a session, speak freely, and receive instant corrections on pronunciation, grammar, and fluency plus targeted exercises to fix weak spots. A safe practice mode encourages shy beginners to try, repeat, and build comfort without pressure. Teachers can align sessions with their syllabus and track progress to see where students need support. Flexible goals let users prepare for exams, master travel phrases, or build professional conversation skills. Over time, confidence grows because learners are not just memorizing theyโ€™re communicating.

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Built with

3 technologies powering this project

The exact stack we chose for performance, scalability, and a team that ships.

  • Chat GPT logo
    Chat GPT
  • MongoDB logo
    MongoDB
  • Flutter logo
    Flutter
What's inside

8 features in Mobile Application

The capabilities we shipped to production. Tap a card for the quick story behind it.

  • 01

    Interactive AI avatar for Zoom-like speaking sessions with natural dialogue.

  • 02

    Personalized learning that adapts to level, pace, and goals (travel, business, exams).

  • 03

    Real-time feedback on pronunciation, grammar, and fluency to build confidence.

  • 04

    Safe practice mode for judgment-free speaking, ideal for beginners and shy learners.

  • 05

    Progress tracking with clear analytics and targeted review suggestions.

  • 06

    Curriculum integration to align with textbooks and classroom units.

  • 07

    Flexible learning goals with quick-start scenarios and role-plays.

  • 08

    Multi-profile support (learner, teacher) with simple classroom setup and oversight.

How we ship

Five stages from brief to long-term care

The same path every Zygobit project follows. Predictable milestones, clear hand-offs, no surprises.

  1. Research

    Brief, goals, constraints, success metrics

  2. UI/UX Design

    Wireframes, design system, prototypes

  3. Development

    Sprints, code reviews, test coverage

  4. Deployment

    Release pipeline, monitoring, handover

  5. Maintenance

    Iterate, patch, scale as you grow

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