End to End Automation Testing — Codeception

Project Overview: The Codeception framework was developed to actually make testing fun, it allows writing unit, functional, integration, and acceptance tests in a single and coherent style. It can be called a BDD (Behavior Driven Development) framework.

In this blog, I am going to share steps to setup Codeception and run basic scripts. I am using PhpStorm with Codeception, as we have very good experience with it while using it in tajawal. However, you can choose any IDE of your choice.

Now open terminal and go to the created project directory and perform below-mentioned steps:

Objectives

1. Develop a user-friendly mobile app that utilizes AI to provide personalized recipe suggestions based on user preferences, dietary restrictions, and available ingredients.
2. Create an interactive cooking guide that assists users with step-by-step instructions, cooking tips, and real-time assistance.
3. Implement a smart learning system that refines recommendations over time, adapting to users’ taste preferences and dietary changes.

Features

1. AI-Powered Recipe Recommendations:

• RoboChef analyzes users’ taste preferences, dietary restrictions, and ingredient availability to suggest personalized recipes.
• Machine learning algorithms continuously learn from user interactions, refining recommendations for an increasingly tailored experience.

2. Ingredient Scanner and Inventory Management:

• Users can scan their pantry and refrigerator using the app’s built-in ingredient scanner.
• RoboChef provides recipe suggestions based on available ingredients and helps users manage their inventory by suggesting recipes that utilize soon-to-expire items.

3. Step-by-Step Cooking Guide:

• Each recipe includes a detailed step-by-step cooking guide with interactive multimedia elements.
• Users can watch video tutorials, view images, and receive real-time tips from RoboChef as they progress through each cooking stage.

4. Nutritional Insights and Meal Planning:

• RoboChef provides nutritional information for each recipe, helping users make informed decisions about their meals.
• The app offers meal planning features, allowing users to create weekly menus based on dietary goals and preferences.

5. Voice-Activated Assistance:

• Users can interact with RoboChef using voice commands for a hands-free cooking experience.
• The AI assistant responds to queries, provides cooking tips, and adapts recipes based on user preferences.

Technology Stack

• Frontend: Flutter for a seamless cross-platform mobile app experience.
• Backend: Django for handling server-side logic and API integration.
• Database: PostgreSQL for efficient data storage and retrieval.
• AI Integration: TensorFlow for machine learning models powering recipe recommendations.

Mohsin Aheer possesses a rare blend of technical expertise and creative flair. They skillfully transformed our vague ideas into a visually stunning and highly functional website. The end result exceeded our expectations, and we continue to receive compliments on the design and user experience.

Outcome

RoboChef Recipe Assistant has revolutionized the way users approach cooking, making it an enjoyable and educational experience. The AI-powered features not only simplify the cooking process but also contribute to users’ culinary growth, creating a personalized and evolving cooking journey.