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Elut.ai - Coggle Diagram

- - - - user auth
      - scalability
      - security
        
        hashed passwords
      - profile data
      - social media integration
      - user management
    - - cloud options:
        
        web services:
        
        Google Cloud SQL
        
        Amazon RDS
        
        Microsoft Azure SQL Database
        
        MySQL
        
        PostgreSQL
        
        Microsoft SQL
    - - What should go into the Schema?
- - - - should we do multithreading for voice, text, and images?
        
        how should we process the info?
    - - Use Github
- - - - Possibilities:
        
        companionship
        
        Language Learning
        
        Interactive Story Telling :star:
        
        Talking with Characters
    - - What is this audience looking for when learning languages?
    - - Intro
        
        Explain purpose of survey
        
        Assure confidentiality
        
        express appreciation
      - Demographic Questions
        
        Age
        
        Gender
        
        Education Level
        
        Language proficiency (English, Chinese, other)
      - Tech Usage
        
        Devices (language learning)
        
        Smartphones
        
        tablets
        
        computers
        
        Frequency (app usage)
      - Learning Preferences
        
        time of day to study
        
        duration of study
        
        style (visual, auditory, kinesthetic)
      - Features of Interest
        
        Learning through interactive stories
        
        speech recognition
        
        AI-driven personalized learning
        
        gamification
        
        user generated content
      - Previous Experiences
        
        Previous Language learning apps used
        
        satisfaction with language learning apps
        
        what they liked/disliked about apps
      - Expectations from Elut.ai
        
        expectations
        
        specific features
        
        what would make it stand out
      - Willingness to Pay
        
        if they would pay
        
        preferred sub models
        
        monthly
        
        annually
        
        one time purchase
      - Final Thoughts
        
        open ended question
        
        additional feedback
      - Closing
        
        thank them for time
        
        offer to share results and upcoming news
  - - - Overview
        
        founded in 2009 by two engineers
        
        most popular language learning app
        
        500 million downloads
        
        42 million monthly active users (2021)
      - market performance
        
        $250 million (2021)
        
        55% increase from previous year
        
        6% of monthy active users subscribing to Duolingo Plus
      - Marketing Strategies
        
        freemium model
        
        organically through word of mouth
        
        recently more investment in marketing
        
        brand campaigns and paid acquisitions
      - Strengths
        
        engaging gamified learning experience
        
        wide language selection
        
        use of data analytics
      - Weaknesses
        
        heavily depends on a small percentage of users
    - - Overview
        
        Launched in 2008
        
        focus on real conversations
        
        paid-only model
      - market performance
        
        (euro) 198 million in revenue (2021)
        
        operated at a loss since 2013
      - marketing Strategies
        
        effectiveness of language learning system
        
        more traditional
      - Strengths
        
        methodological focus on conversational language learning
        
        targets serious language learners
      - Weakness
        
        paid only model limits user base
        
        10 million total subscriptions compared to Duolingo
- - - - Chinese-English language pair market size
      - 10-20% of TAM
        
        Min:
        
        10% * 7.1 million = 710,000 $
        
        Max:
        
        20% * 14.2 million = 2.84 million $
      - Serviceable Available Market
    - - Global Language Learning Market Size
        
        valued at 14.2 billion $ in 2021
      - 0.5%-1% of Global Language Learning Market
        
        Min:
        
        0.5% * 14.2 billion = 7.1 million $
        
        Max:
        
        1% * 14.2 billion = 14.2 million $
      - total addressable market
    - - Initial Reach will be limitted
        
        marketing penetration limits
        
        brand recognition limits
      - Resource Constraints
        
        can't scale as much
        
        not much funding
      - 1-5% of the SAM
        
        min:
        
        710,000 * 1% = 7100 $
        
        max:
        
        5% * 2.84 million =142,000 $
        
        avg:
        
        (142,000 + 7100) / 2
        
        74,550 $
        
        HOW MUCH MONEY ON AVERAGE WE MIGHT MAKE
      - Serviceable Obtainable Market
- - - - create boilerplate code~ ye ye
      - functionality to add:
        
        accept a 'POST' method with user input txt
        
        create openAI API call function
        
        send the data back through the same 'POST' method
      - Manage Error Handling
        
        app wide error handling
        
        blueprint specific errors
      - Unit Tests
        
        Make error handling unit tests
      - Make a logger
        
        what logs should I put?
        
        what log levels?
        
        debug
        
        info
        
        warning
        
        error
        
        critical
      - Make a requirements.txt
- - - - showing different UI elements based on the data received
  - - - Security Auth?
      - data format: JSON
      - HTTP Requests
        
        'POST' to send user input data
        
        another 'GET' to get GPT-4 chunks??
      - Da Faq is a Blueprint??
        
        Modularity
        
        allows the creation of the app in seperate modules or files and then register them with the main app
        
        Organization
        
        features
        
        functionality
        
        access level (public, admin, API endpoints)
        
        Scalability
        
        Can be reusable, across multiple projects
        
        Defines Endpoints
    - - handling network issues
      - API rate limits
      - personal exceptions
      - JSON type errors
    - - library: asyncio
      - asynch comm with flutter?
- - - - semiotics