# Project export: NutriLens

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## Project metadata

- Hackathon: Cal Hacks 11.0
- Tagline: Your personal nutritionist and cook book, right in your glasses.
- Devpost: https://devpost.com/software/nutrilens-1u9jo4
- GitHub: not linked
- Video: https://www.youtube.com/embed/nmrWl9F92Rg?enablejsapi=1&hl=en_US&rel=0&start=&version=3&wmode=transparent
- Team: contributor stats unavailable

## Devpost submission (written by the team)

### Inspiration

NutriLens was inspired by the growing emphasis on health and wellness, and the challenge many people face in understanding the nutritional content of their meals, especially when dining out or trying new dishes. The idea was to leverage technology to provide instant access to detailed nutritional information, making it easier for individuals to make informed dietary choices.

### What it does

NutriLens is an augmented reality (AR) spectacle system that: Provides real-time macro tracking by identifying ingredients and estimating portion sizes. Offers recipe suggestions based on available ingredients. Displays nutritional information directly in the user's field of view.

### How we built it

AR technology integrated into spectacles for hands-free operation. AI-powered image recognition to identify food items and ingredients. Integration with the USDA Food Data Central API for retrieving nutritional information. A backend connection to for processing input and generating recommendations. AR UI menus for displaying information and interacting with the system.

### Challenges we ran into

Developing accurate food recognition algorithms for a wide variety of ingredients and dishes. Creating an intuitive AR user interface that doesn't obstruct the user's view. Ensuring real-time performance for instant feedback and information display.

### Accomplishments we're proud of

Successfully integrating AR technology with nutritional analysis for a seamless user experience. Developing a system that provides instant, accurate nutritional information in real-time. Creating a multi-functional tool that assists users throughout the entire cooking process. Designing an innovative solution to promote healthier eating habits and informed dietary choices.

### What we learned

The importance of user-centered design in creating wearable technology. The complexities of integrating multiple technologies (AR, AI, image recognition) into a single system. The value of real-time data processing and display in enhancing user experience. The potential of AR in revolutionizing everyday tasks like cooking and meal planning.

### What's next

Expanding the food recognition database to cover a wider range of cuisines and ingredients. Implementing personalized dietary recommendations based on user preferences and health goals. Developing social features to allow users to share recipes and cooking experiences. Exploring partnerships with nutrition apps and food delivery services for enhanced functionality. Refining the AR interface for even more seamless integration into the cooking process. Conducting user studies to gather feedback and improve the overall experience.

## README (from the GitHub repository)

No README available.

## Detected evidence (automated analysis)

No repository was indexed for this project. Claimed technologies below could not be checked against code.
- JavaScript (language) — claimed on Devpost, not found in the code
- TypeScript (language) — claimed on Devpost, not found in the code

## Codebase structure

No repository index available.

## Key source files

No repository index available; no source files included.