Trydigital Solution

AI-SHEF Mobile App

10+ Features

From Quiz-Aware AI to Voice-Guided Cooking Steps

3 AI Chef Personas

Free, Micro-Unlock & Premium Cooking Modes

About the Client and Project

The client is an India-based food-tech startup on a mission to make home cooking smarter, easier, and more enjoyable for everyone — anytime, anywhere. They approached us to build AI-SHEF – a mobile-first AI-powered cooking assistant app that guides users through recipes step-by-step with real-time voice narration, personalized chef personas, and smart quiz-based customization.

With millions of home cooks struggling to follow complex recipes without real guidance, the client needed a platform that could bridge traditional cooking knowledge with modern AI technology. AI-SHEF was built to be that personal kitchen companion: intuitive, intelligent, and deeply personalized.

Key Functionalities:
AI-Powered Step-by-Step Cooking Guidance
Quiz-Based Personalization (Diet, Skill, Spice, Time)
Multiple AI Chef Personas (Free, Micro, Premium)
Voice & Text Interactive Cooking Sessions
Static Recipe Architecture with Dynamic AI Narration
Subscription-Based Chat Limit System

Industry

Food Tech

Project Duration

3 Months

Team Size

5

Client Location

India

Engagement Model

Fixed Budget

Our Process

1.

Conceptualization

Food-tech market research, user persona mapping for home cooks and beginners, feature prioritization across AI cooking tools, quiz-based personalization planning, chef persona model design, and subscription tier architecture planning.

2.

Design

Dark-themed intuitive UI/UX design in Figma, step-by-step cooking session screen flow, multi-screen user journey for Intro, Ingredients, Prep Notes and Cooking Steps, stepper navigation design, AI avatar and chat interface design, and subscription upgrade screen design.

3.

Development

Flutter-based cross-platform mobile app development, Gemini AI integration for real-time quiz-aware cooking narration, static recipe CMS architecture, voice and text interactive session development, chef persona system implementation, subscription and payment gateway integration, and local session persistence.

4.

Deployment

App Store and Play Store submission, beta testing with real home cooks, post-launch performance monitoring, AI cost optimization review, recipe content onboarding via admin CMS panel, and feature iteration based on user feedback.

Challenges

1. Keeping Recipes Static While Making AI Feel Personalized

2. Managing a Complex Multi-Screen Cooking Session Flow

3. Handling Dietary Conflicts & AI Cost Control

Ai shef mobile app

Client Goals

After a thorough understanding of the food-tech space and home cook user needs, we designed an AI-powered, mobile-first cooking assistant app that would:

Ai shef mobile app

Technology Stack

  • UI & UX: Designed in Figma with a clean dark food-tech aesthetic — component-based design system, intuitive cooking session screens, stepper navigation components, AI chat interface, and chef persona cards ensuring consistency across 20+ screens.

  • Frontend: Built using Flutter to deliver a single-codebase, native-like mobile experience across iOS and Android — enabling smooth step-by-step cooking animations, real-time voice input handling, and a visually rich interactive cooking UI.

  • Backend: Powered by Node.js infrastructure to securely handle user profiles, subscription management, recipe CMS versioning, AI narration request routing, session persistence, and chat limit enforcement across Free, Micro, and Premium tiers.

  • AI Integration: Gemini AI integrated for quiz-aware, chef-persona-driven cooking narration — delivering personalized step-by-step guidance, ingredient substitution suggestions, and real-time cooking tips based on user diet, skill, spice, and time preferences.

  • Real-time Communication: WebSocket-based architecture powering live voice and text interactions between users and the AI chef — with low-latency performance for seamless cooking session continuity.

  • Cloud Infrastructure & Security: Deployed on cloud with encrypted storage of recipe data, user preferences, and session chat history — with secure RESTful APIs, admin CMS panel, and privacy-compliant data handling.
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Results

The deployment of AI-SHEF successfully delivered an intelligent, AI-powered interactive cooking assistant app that guides home cooks through recipes with personalized chef narration — through quiz-aware AI guidance, static recipe architecture, and a deeply personalized step-by-step cooking experience.

10+ Features

From Quiz-Aware AI to Voice-Guided Cooking Steps

3 AI Chef Personas

Free, Micro-Unlock & Premium Cooking Modes

Ai shef mobile app
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