The aim of this project is to create a comprehensive image classification and advice generation system which takes the images of food product and estimate the calories in that and then give appropriate amount one should take to maintain his/her diet.
Link to the frontend: Nutrivision-Backend
Clone the project
git clone https://github.com/Anurag-Deo/Nutrivision-Frontend
Go to the project directory
cd Nutrivision-Frontend
Install dependencies
npm install
Start the server
npm run dev
GET :8001/nutritional_info
Parameter | Type | Description |
---|---|---|
dish |
string |
Required. The dish for which we want the nutritional values to be extracted. |
GET :8002/info_gemini/invoke
Parameter | Type | Description |
---|---|---|
'input':{'dish':dish} |
json |
Required. Internal call to fetch the data from gemini |
GET :8002/info_gpt/invoke
Parameter | Type | Description |
---|---|---|
'input':{'dish':dish} |
json |
Required. Internal call to fetch the data from gpt |
GET :8002/info_claude/invoke
Parameter | Type | Description |
---|---|---|
'input':{'dish':dish} |
json |
Required. Internal call to fetch the data from claude |
GET :8003/detect
Parameter | Type | Description |
---|---|---|
file |
file |
Required. Image of the food item for the classification |