Better Health AI
Better Health AI: Decode Food Labels and Make Smarter Choices for a Healthier You
Created on 2nd October 2024
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Better Health AI
Better Health AI: Decode Food Labels and Make Smarter Choices for a Healthier You
Describe your project
In Scope Features:
- Ingredient Analysis: The food and personal care products images or the ingredient details are uploaded by the user and the AI technology explains every ingredient in detail on the label and how it affects your health.
- Health Condition Awareness: The AI asks the user the health problems and advises them on how they can avoid some foods for their safety.
- Personalized Diet Plans: The users can create diet plans that meet their objectives (weigh loss) with the help of AI.
- Nutritional insights: Users get detailed nutritional information about the products they seek to investigate.
Out of Scope Features:
- Guest Mode: Currently, all users must sign in to access the app’s features. Guest mode is not available, but may be added later.
- Detailed Fitness Tracking: While the app generates diet plans, it does not include detailed fitness tracking or exercise recommendations.
- Custom Meal Suggestions by Cuisine: The app doesn't automatically adjust meal plans based on specific cuisines yet (e.g., Indian food), but this feature can be manually requested through the chat.
Future Opportunities:
- Guest Mode: Introducing a guest mode for users who want to explore the app without signing up could enhance user adoption.
- Expanded Personalization: Adding more health conditions, dietary preferences, and cuisine types will enable the AI to cater to a broader audience with more tailored recommendations.
- Fitness Integration: Integrating fitness tracking or workout recommendations alongside diet plans could create a more holistic health and wellness tool.
- Partnership with Food Brands: Collaborating with food manufacturers could allow the AI to provide even more accurate product - specific health insights.
- Enhanced AI Model: Continuously improving the AI's understanding of food ingredients and their impact on health will increase the accuracy and value of the platform.
Challenges we ran into
One major challenge we ran into was making sure the AI could properly handle and extract information from uploaded images, like food and product labels. It wasn’t just about getting the AI to read the labels correctly; we also had to figure out how to store the images and link them with the user’s chat history so they could easily access past interactions.
To tackle this, we decided to use cloud storage (like S3 through UploadThing) for handling image uploads. This allowed us to securely store your images and link them directly to the corresponding chat session. This way, users could access both their AI analysis and chat history without any issues. It made the whole process more reliable and user-friendly.
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