This is a submission for Twilio Challenge v24.06.12
What I Built
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FoodMood-Bot is designed to enhance the cooking experience by providing mood-based recipe recommendations and personalized food-related assistance. It leverages the capabilities of Twilio and OpenAI to create an interactive and engaging user experience on WhatsApp.
Twilio and AI
I used Twilio's WhatsApp API to interact with users in real-time, collecting mood inputs and delivering tailored recipe suggestions and Openai's Chat completion and Create Image APIs. OpenAI powers the bot's ability to understand and respond to user queries intelligently, ensuring that the food recommendations are both appropriate and enjoyable.
Demo
Check out the live demo: FoodMood-Bot Demo
Chat with the bot on this number:- +14155238886
π½οΈ FoodMood-Bot
FoodMood-Bot is a WhatsApp bot powered by Flask, Twilio, and OpenAI, developed by HarshitaDS in June 2024. It suggests recipes based on the user's mood, providing brief, easy-to-follow instructions with ingredients and preparation time.
Features
- π Mood-Based Food Suggestions: Get recipe recommendations based on your current mood.
- π Brief Recipes: Each recipe is concise (not more than 1400 characters) and includes ingredients and preparation time.
- π« Portion Size: Ingredients list is prepared for 2 people.
- π½οΈ Personalized Assistance: Responds to thank you messages with amazing food-related quotes and offers further assistance.
- πΌοΈ Image Generation: Generate images related to your query by starting your message with
/img.
How It Works
- Mood Detection: The bot asks for your current mood and suggests a suitable recipe.
- Recipe Delivery: Provides a brief recipe with a list of ingredients and the preparation time.
- Portion Control: All recipes are tailored for 2 people.
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Image Generation: Start your message with
/imgto receive a generated image related to your query.
Example Interaction
User: I'm feeling happy today!
FoodMood-Bot: That's wonderful! How about celebrating with a refreshing fruit salad? ππ Here's a quick recipe:
Ingredients:
- 1 cup strawberries, sliced
- 1 orange, peeled and segmented
- 1 apple, diced
- 1 tablespoon honey
- 1 tablespoon lemon juice
Preparation Time: 10 minutes
- In a large bowl, combine the strawberries, orange segments, and apple.
- Drizzle with honey and lemon juice.
- Toss gently to mix. Enjoy your refreshing fruit salad!
User: Thank you!
FoodMood-Bot: "One cannot think well, love well, sleep well, if one has not dined well." - Virginia Woolf. I'm here for any further assistance you may need!
Technologies Used
- Flask: For creating the web application.
- Twilio: For WhatsApp messaging API.
- OpenAI: For intelligent responses and mood analysis.
Installation
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Clone this repository:
git clone https://github.com/HarshitaDS/FoodMood-Bot.git cd FoodMood-Bot -
Create a virtual environment and activate it:
python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate` -
Install dependencies:
pip install -r requirements.txt -
Set up your environment variables:
TWILIO_ACCOUNT_SIDTWILIO_AUTH_TOKENOPENAI_API_KEY
-
Run the Flask application:
flask run
Usage
- Initiate a conversation with the bot on WhatsApp.
- Provide your current mood when prompted.
- Receive a personalized recipe suggestion.
- Start your message with
/imgto generate an image related to your query. - Enjoy your meal!
Contributing
Contributions are welcome! Please fork this repository and submit a pull request.
License
This project is licensed under the MIT License.
Contact
Developed by HarshitaDS. For any inquiries, please reach out via GitHub.
Additional Prize Categories
Impactful Innovators: This will help in getting customized food options as per the mood, so nothing will get wasted. π
Entertaining Endeavors: Gives interesting food-related quotes and images when asked that will increase the appetite. π
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