The AI Recipe App was developed as a functional MVP to evaluate its potential for securing funding. This AI-powered recipe generator enables users to create and personalise recipes while dynamically adjusting ingredient quantities to suit the number of diners. Featuring high-quality images for each dish, the app also allows users to modify recipes, save their favourites, and locate nearby restaurants offering the same meal, thereby delivering a comprehensive and immersive culinary experience.

During the development of MVP, we encountered several challenges that demanded innovative solutions. One major hurdle was training the AI to recommend the most accurate ingredients; by refining our machine learning models with diverse, high-quality culinary datasets, we ensured that the AI’s selections were both precise and contextually appropriate. We also faced the technical complexity of integrating multiple APIs; from nutritional databases to local restaurant locators, which we overcame by establishing robust, real-time data connections. Finally, ensuring that serving portions were scaled accurately required the creation of a dynamic algorithm that adjusts each ingredient precisely according to the desired number of servings, thereby maintaining the dish’s intended flavour and balance.

The execution phase focused on embedding the core functionalities into a seamless user experience. We developed a robust MVP that allows users to create recipes with accompanying high-quality images, modify and personalise recipes to their taste, save and mark their favourites, search for nearby restaurants serving the same dish, and dynamically adjust ingredient quantities based on the desired number of servings. This targeted approach ensured the app not only met the client’s requirements but also delivered a user-friendly, engaging solution.

The final MVP achieved outstanding outcomes. It not only met the client’s specifications but also garnered overwhelmingly positive feedback from users. This enthusiastic response has attracted significant investor interest, validating the innovative approach and robustness of the business model while laying a strong foundation for future enhancements.