Developed an Calories Counter Web App that identifies food items, the amount of calories/serving per item, and the healthiness of the food from uploaded images.

Utilized AI technologies, such as Gemini-1.5-Flash, to analyze images for food item recognition.

Implemented Python libraries such as Streamlit for a seamless and interactive user interface with light/dark color options.

Accurately calculates calorie content based on serving sizes for each identified food item.

Provides a comprehensive summary of total caloric intake and evaluates the overall healthiness of the food items.

Ensured a user-friendly experience with real-time image processing and immediate feedback on dietary choices.