Assessment for Yelp API & Google Vision API
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Updated
Jan 28, 2024 - TypeScript
Assessment for Yelp API & Google Vision API
Assessment for Yelp API & Google Vision API
A specific URL where the web & mobile application can send requests to perform actions.
In the Advanced React Sprint Challenge, replicate a grid-based widget, implement MVP requirements with class-based and functional components, and write tests. Follow provided API endpoint for payload handling.
Face recognition and emotion detection api endpoint made using django and deepface.
API endpoint with ExpressJS and mongoDB
A user interface such that it displays a grid of country flags and their names, by retrieving data from the given API endpoint.
Data retrieval via an API endpoint, performing average calculations and unit testing for each step. Documentation is included for Docker containerization with Kubernetes orchestration for the data pipeline.
Colour Picker with Compose Framework
Aplicação que trabalha com API (endpoint) do Github para favoritar usuários na página.
Streamline OpenAI requests with an intuitive API wrapper... Created at https://coslynx.com
AI-powered system for generating responses to requests... Created at https://coslynx.com
Course Report is a robust Spring Boot application designed to seamlessly integrate with Course Report's API, MySQL database, and Slack messaging platform. It efficiently retrieves user data based on specified parameters, identifies new or updated users, stores their information in the database and sends messages to slack channel.
Added a secure REST API endpoint /api/tasks to return the authenticated user’s tasks in JSON format. Implemented JWT-based authentication with Spring Boot and Spring Security to protect user data and ensure only authorized access.
Code related to the quiz-game repo, but leveled up.
This project utilizes the Serverless Framework combined with Flask to create a REST API endpoint for sending emails. The built-in email service processes requests by accepting the receiver's email, subject, and text in JSON format, and subsequently sends an email to the designated recipient.
Developed an image classification model for Scones Unlimited to identify delivery vehicles (bicycles vs. motorcycles) to enhance routing and loading bay assignments, thereby optimizing operational efficiency.
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