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-FrontendGo to the project directory
cd Nutrivision-FrontendInstall dependencies
npm installStart 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 |
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