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Landing Page
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Dark Mode Home Page
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Home Page
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User Information
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Meal Generator
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Grocery Generator
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Chat section
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Component Diagram
Inspiration🏋️
Have you ever felt confused about what to cook 🤔, how to cook 🧑🏻🍳, what groceries you need 🛒, based on your body goals 🏋️, allergies 🤧, requirements 🍕, budget 💶 and more? We have a solution for you! We are building a Meal Mentor, that helps you with all your nutrition needs.
Meal Mentor is a GPT-4 powered AI application that helps you to decide what you can eat based on multiple factors like
- Body goals 🏋️
- Allergies 🤧
- Budget 💶
- Cooking Time 🥘
- Proficiency in Cooking 🧑🏻🍳
- Grocery availability/ Time for Grocery 🛒
- Nutritional requirements 🥜
- Activity Level 🕺
- Exercise Hours & Frequency 🏋️
- Job Type & Work Hours 👨🏻💼
- Diet Type & Cuisine Preference 🍕 and more .....
and gives you
- Meals for the Entire week, for each meal of the day 🍕
- Recipes for each meal on ChatBot 🧑🏻🍳
- Nutritional Information on ChatBot 🥜
- Grocery List 🛒
- Cooking Instructions on ChatBot 🧑🏻🍳
- Alternative Recipes on ChatBot 🍕
- Multiple Language Support on ChatBot 🌍
What it does
Meal Mentor is a GPT-4 powered AI application that takes in information about the user's body goals, food preferences, allergies, budget & grocery information 🧠 Then, it analyses the user-provided information and gives the user a meal plan for the entire week, for each meal of the day, along with recipes, nutritional information, grocery list, and cooking instructions 🧐
Users can also ask for alternative recipes, nutritional information, and cooking instructions for each meal from our ChatBot 💬 ChatBot can help you in multiple languages like Hindi, English, French and many more 🌏 All these chats are stored in the user's chat history, so the chatbot knows you well 🫙 Moreover, The Grocery list, can be used to tick off the items that are already available and the remaining items can be ordered online/ bought offline 🛒
How we built it
We built the Meal Mentor using GPT-4, React, Langchain, Tailwind CSS, Azure, MongoDB and alot of Python 💻
Challenges we ran into
We ran into the following Challenges:
- Integrating GPT-4 with our application
- Building a ChatBot & maintaining the conversation history
- Design the UI/UX
- Deployment of the application
Accomplishments that we're proud of
We are proud of the following accomplishments:
- We were able to integrate GPT-4 with our application and design a ChatBot
- We were able to design a user-friendly UI/UX
- We were able to deploy the application on Azure
- We were able to build a ready-for-market version of Meal Mentor
What we learned
We learned the following:
- GPT-4 API Integration
- ChatBot Design
- Tailwind CSS
- Azure Deployment
What's next for Meal Mentor
We plan to launch the Meal Mentor in the market and make it available for everyone. We are also planning to add more features like:
- Voice Assistant
- Integration with Smart Kitchen Appliances
- Integration with Health Apps
- Integration with Grocery Delivery Apps
- Integration with Fitness Apps
- Integration with Social Media
- Integration with Notes App
Functionality & Purpose
Meal Mentor solves already existing problems of deciding what to cook, how to cook, and what groceries you need, based on your body goals, allergies, requirements, budget and more. 🤔
Due to complete deployment over Microsoft Azure, it is a highly scalable application that can be used in other regions and by more than one type of audience 🌏
It is an application that would encourage the user to use it more than once for its benefits. It is a one-stop solution for all your nutrition needs. 🍕
Documentation
Both FrontEnd and BackEnd folders consist of their own README files, CONTRIBUTING files, and LICENSE files.
Creativity
Meal Mentor takes an original, completely automated, highly customized and creative approach to the problem of deciding what to cook, how to cook, and what groceries you need, based on multiple factors
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