Projects with this topic
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Outil utilisé par le raid pour la gestion des tracés
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The Loan Payment Calculator is a web application built with Django and Vue.js that allows users to calculate loan payments based on various input parameters. Users can try different scenarios to see how they affect their payments and view a history of their calculations.
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TaleSpin AI
🎮 🤖 TaleSpin AI is an innovative text-based adventure game generator powered by AI. Dive into immersive, dynamic narratives where every decision you make shapes the outcome of your journey. Create personalized adventures, face real-time typing challenges, and explore a world of endless possibilities—all in a sleek macOS terminal-inspired UI.
🚀 Features AI-Generated Adventures: Create unique 10-scene stories based on any subject. Interactive Gameplay: Choose between success, challenge, or failure options to navigate the story. Typing Challenges: Real-time tasks where you must type specific words to progress. Modern Design: A responsive and macOS-terminal-themed interface. Scalable Backend: Built with Flask, Redis, and Docker Compose for easy scalability.🛠️ Tech Stack Frontend: Vue.js, Axios, Custom CSS. Backend: Flask, OpenAI API, Redis. Deployment: Docker Compose for local development and production scalability.📜 Usage Enter your desired adventure subject. Navigate through dynamically generated stories with multiple choices. Complete typing challenges to progress or face failure.Get ready to craft your own story with TaleSpin AI!
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Final project of the 42 Lausanne cursus.
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A curated list of Docker Compose samples.
These samples provide a starting point for how to integrate and manage different services using a Docker Compose file.
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Simple microblog engine built as Flask REST API & Vue3 frontend.
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Vue.js frontend application for Alert RCB v2.
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Get a ranking for all leagues for a specific country and a specific division.
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Basic static website template using Cactus.
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Basic Flask web application template.
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Triffids will be based around the Bristol Open Data platform and make use of the 'Trees', 'Parks and Green Spaces' and 'Common Land and Village Green' datasets. There are other datasets that could be integrated, for example, 'Open Benches' and 'Trees
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Server part of the BICC project
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