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Lizzie Darby@Lizzi

100/200

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Profile rank: lablab No-rank

Next rank: lablab Apprentice

3

Events attended

1

Submissions made

Non tech founder

United Kingdom

1 year of experience

About me

I have been selling shoes for 6 years in the physical space and now want to take all the learnings of what customers enjoy in store and use it to make a better online shopping experience. In store my customers love to chat. It helps create the best sales, ones less likely to be returned, better conversions in the first place. I want to create a friendly, honest helpful chat bot for my online store that challenges every other experience.

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Daud Khalid

Student

Hello, my name is Daud Khalid. I am a skilled front-end developer with a strong foundation in Python and experience in Machine Learning (ML). With a passion for creating intuitive and visually appealing user interfaces, I specialize in crafting seamless web experiences that engage users and enhance their interactions with digital platforms. In terms of front-end development, I possess a deep understanding of HTML, CSS, and JavaScript, enabling me to bring design concepts to life and build responsive, user-friendly websites. Through my experience working on various projects, I have honed my skills in creating clean and efficient code, optimizing website performance, and ensuring cross-browser compatibility. Beyond front-end development, I have delved into the realm of Python and ML, expanding my skill set to encompass data analysis, predictive modeling, and algorithm implementation. Leveraging my Python expertise, I have gained hands-on experience in developing ML models, training them on large datasets, and deploying them to provide intelligent insights and automate complex tasks. With my combined proficiency in front-end development, Python programming, and ML, I possess a unique blend of skills that enables me to bridge the gap between visually appealing interfaces and data-driven solutions. I am enthusiastic about leveraging my technical abilities to create innovative and impactful applications that improve user experiences and drive business outcomes. I am constantly seeking opportunities to further enhance my skills and stay updated with the latest industry trends and technologies. As a dedicated learner and problem solver, I thrive in collaborative environments and am eager to contribute my expertise to dynamic projects that push boundaries and deliver exceptional results. Thank you for considering my profile. I look forward to discussing how my skills and experience can contribute to your team or project

🤓 Submissions

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    Hackathon link

    Chatty Shoes

    Chatty Shoes is designed with a highly responsive, scalable and robust backend, leveraging state-of-the-art technology to facilitate user-friendly online shoe shopping via natural language interactions. The backbone of the system is a serverless architecture based on Cloud Functions. This decentralised structure comprises three primary functions: Session Creation, Message Management and Information Retrieval. Session Creation: This function is responsible for initiating conversations with customers. Every conversation represents a unique session, providing the framework for interactive and dynamic dialogues. The data from these sessions, including the conversation history, is securely stored in Firestore, ensuring a persistent and seamless user experience across different sessions. Message Management: Powering the heart of the conversation is a GPT-3.5-turbo, a language model renowned for its ability to understand and generate human-like text. This feature enables Chatty Shoes to handle Frequently Asked Questions (FAQs) within the context of the conversation, thereby giving users instant responses to their queries. Additionally, it provides the AI agent with the ability to perform information retrieval operations on products when the system deems it necessary, making it proactive and more engaging. Information Retrieval: The last key component of the backend is the Semantic Search function, which operates over Pinecone's vectorial database. This feature enhances Chatty Shoes' product recommendation abilities by retrieving product data based on the contextual understanding of user inputs rather than merely keyword matching. This means the AI can effectively understand and respond to nuanced customer preferences, thus improving their overall shopping experience. Together, these elements synergise to create a powerful backend that underpins Chatty Shoes' mission: to revolutionize online shoe shopping by facilitating better, deeper and more intuitive conversations.

👌 Attended Hackathons

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    Build your AI Startup Hackathon. Episode 3

    🛠️ Dive into 7 days of immersive learning and building 🤝 Come with your team or find one during the Hackathon🦾 Free access to Generative AI models and Tech Tutorials🏅 Win a place in the Early Stage StartUp Accelerator program🚀 Get support from mentors and best experts in the industry🌎 Join the community of AI creators around the Globe

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    PrivateGPT & GPT4All Hackathon

    🚀Have fun and build with LLMs💻 Available offline, private and secure!

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    AI Agents Hackathon

    🔥 48-hours AI Challenge 🦾 Build your AI agent, or agent simulation, in 1 day 🚀 Use the LangChain framework to power up your coding! 🤝 You can find co-founders and mentors here

📝 Certificates