dailydiet /
backend
DailyDiet’s Flask and PostgreSQL API powers a robust backend for our nutrition platform, offering tools like BMI and calorie calculators, diet planning, account management, and recipe search.
Loading repository data…
VishnuMate27 / repository
A robust backend service for food ordering and delivery applications (foody_licious & foody_licious_admin_app) developed using Flask. The system integrates Firebase for authentication, MongoDB as the primary database, AWS S3 for media storage, and is Dockerized to ensure portability, scalability, and easy deployment.
This is a Flask-based authentication backend hosted on Hugging Face Spaces using the Docker SDK.
It provides endpoints for user registration, login, and phone verification.
Once deployed, your API will be available at:
https://vishnumate09-foody_licious_backend.hf.space
python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt
python run.py
App will be available at:
http://localhost:7860
docker-compose build
docker-compose up -d
docker-compose logs -f api
docker-compose down
Gunicorn is used inside Docker:
gunicorn -w 4 -b 0.0.0.0:7860 run:app
/api/auth/register/api/auth/sendVerificationCodeForRegistration/api/auth/verifyCodeAndRegisterWithPhone/api/auth/login/api/auth/sendVerificationCodeForLogin/api/auth/verifyCodeAndLoginWithPhoneSelected from shared topics, language and repository description—not editorial ratings.
dailydiet /
DailyDiet’s Flask and PostgreSQL API powers a robust backend for our nutrition platform, offering tools like BMI and calorie calculators, diet planning, account management, and recipe search.
pravincoder /
This project is a robust and scalable multi-agent stock investment and analysis platform built using a Flask backend and a Next.js frontend, leveraging CrewAI for sophisticated multi-agent interactions.
LynnFernandes23 /
The Diabetes Prediction System is a comprehensive web application utilizing HTML for the frontend and Python's Flask framework for the backend. It leverages Pandas and NumPy for efficient data management, employing Scikit-Learn to develop robust machine learning models. Matplotlib is used for insightful data visualization.
Hamza-cpp /
The Bank-IAV is a robust, scalable backend designed to power banking applications. Built with Flask and employing Flask-Migrate for database schema management, this API supports functionalities such as user registration, authentication, and handling banking transactions.
aaron-seq /
An advanced, full-stack web application designed to provide AI-driven stock price predictions and comprehensive portfolio management. This tool features a modern, dark-themed UI built with React.js, a robust backend powered by Node.js/Express, and a dedicated Python/Flask service for sophisticated machine learning predictions.
Kanishk1420 /
A production-ready Supabase backend for a personal notes service with custom Edge Functions. This service provides a secure and scalable way to create and manage personal notes with features like tag filtering, pagination, and robust security.