Loading repository data…
Loading repository data…
SreeHarsha-Kamisetty / repository
This project is a single-page web application built with cutting-edge technologies to provide users with a seamless and engaging culinary experience. Leveraging ReactJS, TypeScript, and Tailwind CSS for the frontend, and NodeJS, ExpressJS, MongoDB for backend. OpenAI API, and DeepAI API as our external api
This project is a single-page web application built with cutting-edge technologies to provide users with a seamless and engaging culinary experience. Leveraging ReactJS, TypeScript, and Tailwind CSS for the frontend, and NodeJS, ExpressJS, MongoDB for the backend. OpenAI API, and DeepAI API as external api. Our application aims to revolutionize the way users discover and create recipes.
Fullstack
. ├── backend/
│ ├── middleware
│ ├── models
│ ├── routes
│ ├── utils
│ ├── .gitignore
│ ├── db.js
│ ├── index.js
│ └── package.json
├── frontend/
│ ├── public
│ ├── src
│ │ ├── assets
│ │ ├── components
│ │ └── redux
│ ├── App.css
│ ├── App.tsx
│ ├── index.css
│ ├── main.tsx
│ ├── vite-env.d.ts
│ ├── .eslintrc.cjs
│ ├── .gitignore
│ ├── README.md
│ ├── index.html
│ ├── package.json
│ ├── postcss.configs.js
│ ├── tailwind.config.js
│ ├── tsconfig.json
│ ├── tsconfig.node.json
│ └── vite.config.ts
└── README.md
Smart recommendation engine powered by OpenAI and DeepAI APIs analyzes user input to suggest personalized recipes. Tailored suggestions based on preferences, dietary restrictions, and past interactions.
Intuitive interface allowing users to create full recipes step-by-step. Ingredient and instruction management for a seamless recipe-building experience.
Automatically generated images for each recipe to provide visual appeal and context.
Frontend:
Backend: