convert CSV to pydantic.BaseModel and vice versa
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Updated
Jul 5, 2024 - Python
convert CSV to pydantic.BaseModel and vice versa
AI-powered article analysis engine orchestrating Zero-Shot Classification (Hugging Face) and Contextual Synthesis (Gemini). Features a secure JWT-authenticated API and structured data management.
A secure backend user authentication system using FastAPI, JWT, and MongoDB Atlas. It supports user signup, login, JWT-based session management, and CRUD operations for user profiles. Passwords are hashed for security. MongoDB Cloud ensures scalable data storage with fast and reliable access.
This FastAPI app includes a GET endpoint at / and a POST endpoint at /send to receive user input. It retrieves data from a simulated database implemented as a Python dictionary. The app uses Pydantic's BaseModel to validate input data and ensure type safety.
Mini Project Base Model Best Hypertuned Model for Metrik Penting pada Algoritma Random Forest
Transform your camelCase query parameters into a model using snake_case fields
A secure, production-ready API for French-English translation. Features JWT authentication to ensure reliable and authorized access to translation services.
An RL-powered Ticket Routing system implementing the OpenEnv framework, including custom environment, agent design, reward optimization, and scalable customer support automation.
V.3.0 - This module focuses on data validation using Pydantic, covering field constraints, optional fields, enums, nested models, and model-level validation. It includes practical examples of validating structured data, handling errors, and enforcing business rules in increasingly complex scenarios.
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