Alpha coders
Scan2Fit
Submitted
May 22, 2026, 8:50 AM
Last Updated
May 22, 2026, 8:52 AM
Project Links
Problem Statement
Many people want to eat healthy food, but they often do not know what ingredients are present in packaged products. Food labels can be confusing, and harmful additives, high sugar, or unhealthy chemicals are difficult to identify quickly. Because of this, users may unknowingly choose unhealthy food items that can affect their health in the long term.
Solution & AI Usage
Unhealthy eating habits can lead to problems like obesity, diabetes, heart disease, and low immunity. People today are becoming more health-conscious, but they still need a simple and smart way to check food quality before buying or eating it. Your app Scan2Fit solves this issue by scanning food products and helping users understand: Nutritional information Harmful or unhealthy ingredients Additives and sugar levels Whether the product is a healthy choice or not This matters because the app: Helps users make smarter food decisions Promotes a healthier lifestyle Saves time by giving instant analysis Creates awareness about healthy eating Supports fitness and health goals “Sanskrit empowers users to make healthier food choices through instant AI-based food scanning and nutritional analysis.”
Full Description
Scan2fit is an AI-powered smart food scanning application designed to help user make healthier food choices The main goal of Scan2Fit is to promote awareness about healthy eating and support users in maintaining a balanced lifestyle through technology and AI. Key features
- Smart Food Scanning Users can scan packaged food items using their phone camera.
- Nutritional Analysis Displays calories, protein, sugar, fat, vitamins, and other nutritional values.
- Ingredient Detection Identifies harmful chemicals, preservatives, and additives.
- Health Score System Provides a health rating for each food product.
- Personalized Recommendations Suggests healthier food options based on the analysis.
- User-Friendly Interface Simple and attractive UI for easy usage by all age groups. Challenges :
- Accurate Ingredient Detection Food labels have different formats and languages, making OCR extraction difficult.
- Data Availability Finding reliable nutritional databases for all products was challenging.
- AI Recommendation Accuracy Building accurate health recommendations required proper food classification.
- UI/UX Design Creating a simple and attractive interface for users of all age groups.
- Real-Time Processing Ensuring fast scanning and instant results without delays. Learning and experience :
- Accurate Ingredient Detection Food labels have different formats and languages, making OCR extraction difficult.
- Data Availability Finding reliable nutritional databases for all products was challenging.
- AI Recommendation Accuracy Building accurate health recommendations required proper food classification.
- UI/UX Design Creating a simple and attractive interface for users of all age groups.
- Real-Time Processing Ensuring fast scanning and instant results without delays.
Tech Stack
Screenshots
3 attached
