Our team's culminating project during my final year of bachelor's in 2020 focused on revolutionizing the culinary experience for users. The primary objective of this undertaking was to empower users with a comprehensive list of recipes tailored to their preferences, encompassing likes, dislikes, allergies, previous choices, and other relevant parameters. Additionally, the system provided real-time information on the availability of all required ingredients for the selected recipes.

The project was strategically divided into four distinct sub-projects:

• Data Extraction for Recipe Database Creation: This phase involved the extraction of data from various websites to build an extensive and diverse recipe database. The aim was to create a robust foundation for the subsequent stages of the project.
• IOT-Based Inventory Management System: The integration of Internet of Things (IoT) technology was employed to develop a sophisticated inventory management system. This ensured efficient tracking and monitoring of available ingredients in real-time, contributing to the seamless execution of the recipe recommendation process.
• Recipe Recommendation System: A pivotal component of our project, this system utilized advanced algorithms to analyze user preferences, historical data, and other relevant parameters. It generated personalized recipe recommendations, enhancing the overall user experience by providing tailored culinary suggestions.
• Android Application Development: The final sub-project involved the creation of an intuitive Android application. This application served as the user interface, facilitating easy access to the recipe database, inventory information, and personalized recommendations. The goal was to provide a user-friendly platform that seamlessly integrated all components of the project.

Our multifaceted project employed a variety of cutting-edge technologies, both in hardware and software domains, to achieve its objectives.

Hardware Technologies:

• Raspberry Pi: Used as the core component for the IoT-based inventory management system, the Raspberry Pi facilitated seamless integration and communication between the various hardware and software components.
• HX711 and Load Cell: Incorporated into the hardware setup, these components played a crucial role in creating a precise and reliable system for measuring and monitoring ingredient quantities in real-time.

Software Technologies:

• Python: The primary programming language for developing various aspects of the project, Python was employed for data extraction, algorithmic development, and interfacing with the Raspberry Pi.
• Windows and Ubuntu: The project was designed to be versatile, supporting both Windows and Ubuntu operating systems. This ensured accessibility and usability across different platforms.
• Putty: Used for remote access to the Raspberry Pi, Putty facilitated the configuration and monitoring of the IoT-based inventory management system.
• Android: The user interface was developed as an Android application, offering a convenient platform for users to interact with the system, explore recipes, and receive personalized recommendations.
• Buildozer: Utilized in the Android application development phase, Buildozer helped streamline the process of converting Python scripts into Android applications, ensuring a smooth and efficient deployment.

In summary, our comprehensive approach aimed to transform the cooking experience by leveraging technology to provide users with personalized recipe suggestions while ensuring the availability of ingredients. The multi-faceted nature of the project, encompassing data extraction, IoT integration, algorithmic recommendation, and user interface development, reflects our commitment to delivering a holistic solution.

Technical Skills:
Python, Machine Learning algorithms, Kivy, IoT, Bs4, Selenium, Android application, Weight sensors.

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This website, a single-page application developed using TypeScript, Angular framework, and seamlessly hosted on Google Firebase, serves as an introduction to La Creation's exceptional services and innovative offerings.

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Technologies used:
Typescript, Angular, Google Firebase, HTML, SCSS.