Akanchha Singh@akanchha

Zax is like a code buddy that utilizes Mistral’s AI API, Flask, Langchain, python on the backend, and HTML,CSS and Javascript to collaborate to provide you with an intuitive interface for the chatbot. Checkpoint backend working explanation When the user enters a prompt into the chatbot, and clicks the submit button, a checkpoint uses the query to understand and analyse whether or not the query is related to coding. This is done by effectively utilising the user prompt to generate the most accurate result, by mapping the query to a set of keywords. This implementation corrects the results and delivers the best coding practices and approach. - Document checkbox Upon checking the document code checkbox a pre-defined template is used to deliver the results in a structured and formatted manner for better user understanding and improved knowledge.

Create your product using Codestral, Mistral's first-ever open-weight generative AI model for code generation. 🕒 24 hours to complete the challenge. 💡 Implement any idea that uses Codestral at its core. 🤝 Take part alone or form a team with other participants. 🏆 Win an opportunity to participate in LabLab NEXT acceleration program