Research Database

This is a Next.js project that uses Typescript, Material UI, Material React Table and Fuse.js for fuzzy search functionalites.

Database (database.json) was put together with Node.js using pdfParse and express-fileupload:

server.post("/extract-text", (req, res) => {
      // if no req file and no pdfFile
      if (!req.files && !req.files.pdfFile) {
        req.status(400);
        req.end();
      }

      pdfParse(req.files.pdfFile).then((result) => {
        res.send(result.text);
      });
    });

  fetch("/extract-text", {
      method: "post",
      body: formData,
    })
      .then((res) => {
        return res.text();
      })
      .then((extractedText) => {
        let newObj = {
          id: uuidv4(),
          name: inpFile?.current?.files[0].name,
          type: inpFile?.current?.files[0].type,
          text: extractedText,
        };
        console.log(newObj);
      });

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

Learn More

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.