Lito AI

Lito AI


CHALLENGES

We were tasked with crafting a fun, educational, and safe online platform for kids—fast. With just two weeks on the clock, we built an engaging app using ChatGPT and AWS Polly to create a friendly voice bot and chat experience. Our MVP not only delighted young users but was also designed for future growth, ready to support multiple languages and scalable features. In a nutshell, we turned a bold idea into a vibrant, interactive space where kids can learn and play while paving the way for future expansion.


Product

Lito AI turns learning into an adventure with its colorful visuals, friendly characters, and simple language. Kids dive into topics like nature, animals, and geography with an engaging chatbot that makes discovery fun and accessible.

  • Interactive Fun

    Lito AI fuels curiosity with tailored content, fun facts, and vocabulary games, sparking exploration and learning for various age groups.

  • Always Adapting

    With advanced machine learning, Lito AI evolves based on each child's interests and feedback, providing a personalized and ever-improving experience.

  • Emotional Support

    Offering positive affirmations and empathy, Lito AI supports emotional well-being, making it a trusted companion for kids.

  • Safe and Secure

    Compliant with COPPA guidelines, Lito AI ensures a secure environment with content moderation and parental controls for peace of mind.


Development

The development process included the following key steps

  • Rapid Decision-Making

    Given our tight deadline, we opted for ChatGPT instead of exploring open-source LLMs. This decision streamlined development and ensured a high-quality interactive experience for kids.

  • Choosing the Right Tools

    For text-to-speech, we selected AWS Polly due to its appealing voice options that met the client’s needs perfectly. This choice enhanced the chatbot’s engagement and interaction quality.

  • Innovative Backend Setup

    To expedite development, we bypassed traditional backend setups. Instead, we utilized cloud-hosted functions, allowing for rapid deployment and automatic scaling, which significantly reduced development time.

  • Agile Development and Testing

    We provided daily builds to the client, conducting joint testing sessions to fine-tune the product. This iterative approach ensured that we delivered a stable, high-performing product within just two weeks.


Tech Stack

  • ChatGPT API

    We chose ChatGPT for its advanced conversational capabilities, tailored to engage young users with simple, kid-friendly language. This choice allowed us to focus on creating an interactive and responsive experience for children.

  • Cross-Platform Framework

    React Native was utilized to ensure a smooth and consistent user experience across both iOS and Android devices, making Lito AI accessible and engaging for kids everywhere.

  • Text-to-Speech and Speech-to-Text

    We integrated AWS Polly for high-quality text-to-speech, providing natural-sounding voices that children love. For speech recognition, we used Google's Speech Recognition API and Apple's Speech framework to enable seamless voice interactions.


In just two weeks, we rolled out a super fun platform for kids using ChatGPT and AWS Polly. The chatbot is lively and engaging, speaking in a way that’s perfect for young users. Thanks to React Native, it works smoothly on both iOS and Android devices. With AWS Polly for voice and Google’s Speech Recognition API, kids can chat with Lito AI through text or voice, making learning a blast. We nailed the tight deadline by using cloud functions for fast scaling and deployment. Daily builds and hands-on testing with the client kept everything on track and polished. This quick, agile approach helped us deliver a killer product on time, setting the stage for future growth and making sure kids get a top-notch experience.


We built Lito AI in just two weeks, creating a lively, kid-friendly chatbot using ChatGPT and AWS Polly. The app, developed with React Native, offers smooth performance on iOS and Android. Integrating Google’s Speech Recognition API and cloud functions for scalability, we delivered an engaging, flexible learning tool on time through daily builds and client collaboration.

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