How to Build an AI Nutrition Monitor with Python & Google Gemini | Full Code-Along
ฝัง
- เผยแพร่เมื่อ 3 ต.ค. 2024
- In this full code-along session we will be building a an AI Nutrition Monitor using Python, Streamlit, and the powerful Google Gemini API!
Whether you're a beginner eager to dive into the world of AI or an intermediate developer looking to expand your skill set, this tutorial is perfectly crafted for you.
What You Will Learn:
Setting Up the Environment: Learn how to set up your development environment with Python and Streamlit, ensuring you have all the necessary tools installed.
Integrating Google Gemini API: Explore how to configure and utilize the Google Gemini API for analyzing nutrition data from images.
Building the UI with Streamlit: Step-by-step guidance on creating a user-friendly interface to upload images and display nutritional analysis.
Tools and Technologies Used:
Python
Streamlit
Google Generative AI with Gemini API
💡 Key Features of the App:
Image Upload Capability
Real-time Nutritional Analysis
AI-powered Meal Identification and Calorie Estimation
Detailed Breakdown of Macros and Ingredients
Code : github.com/tec...
Connect with me on Linkedin : / vaibhavpandey
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Thank you. Loved the simplicity of this app. Learnt a lot.
Glad you liked it. god bless you.
Bro can u share thr documentation
code is available at github.com/technofriends/nutrition-google-gemini-demo
nice video dude, really nicely explained
thank you so much. I am glad you liked it.
could you please use open source models instead?
sure. however google generative AI usage is also free. In the next video will use open source model from Hugging face.
Can u please give me the code i liked and subscribed you bro
thank you. code link is part of description.
code is here github.com/technofriends/nutrition-google-gemini-demo
Can u do this with local LLM
it can be done. i will make a video on it in a few days. i am slightly tied up with lot of work these days.
@@generativegeek alright