LocalBite is dedicated to addressing critical real-world challenges in nutrition, health, and the culinary landscape. Our primary goals are:
Tackling Rising Health Issues
The global increase in lifestyle-related diseases demands innovative solutions. LocalBite encourages healthier dietary choices to counter modern lifestyle impacts.
Bridging the Personalized Nutrition Gap
Many struggle to find tailored nutrition solutions, leading to suboptimal dietary choices. We're here to personalize recommendations based on individual health profiles and preferences.
Combatting Limited Awareness
A lack of food nutrition awareness often results in poor dietary decisions. LocalBite aims to educate users for informed and healthier food choices.
Meeting Diverse Dietary Needs
With varied dietary requirements such as allergies, dietary restrictions (e.g., halal food), and specific health conditions, LocalBite offers nuanced food recommendations.
Supporting Struggling Local Businesses
Local restaurants face challenges competing with larger chains. Our "Hidden Gem" feature promotes and supports these smaller establishments.
LocalBite provides a sophisticated and personalized approach to food recommendations:
- Users input basic information (height, weight, age, gender) and specific dietary requirements during registration.
- Machine learning models use this data with comprehensive nutritional information to generate tailored food recommendations.
- Result: A curated selection of meals aligned with each user's needs, promoting a personalized and inclusive culinary experience.
The "Hidden Gem" Feature
LocalBite showcases local eateries categorized as hidden gems. This encourages users to explore and support smaller businesses, contributing to local economic growth.
LocalBite fosters a more inclusive and accessible food landscape, empowering users to make healthier choices that align with their unique dietary needs. Our aim is to positively impact health and lifestyle.
Established a robust NodeJS-based backend server featuring an array of crucial API endpoints:
- Signup
- Verify
- Login
- Logout
- Resend Verification
- Forgot Password
- Reset Password
- Refresh Token
- Change Password
- Change Email
- Delete Account
- Change Name
- Change Preferences
- User Data Retrieval
- Get Meal Plan
- Real-time Cravings
- Nearest Restaurant Data Retrieval
- Implemented JWT-based user authorization
Configured Firestore on Google Cloud Platform (GCP) to efficiently store and manage user data.
Developed and integrated two machine learning models, Hidden Gem and Food Recommendation, using the Flask framework.
Deployed both machine learning models using Cloud Run services on GCP.
Contributions and Feedback
We welcome contributions and feedback to further enhance LocalBite's mission of promoting healthier food choices and supporting local communities.