---
title: "Movie Recommendation System"
kind: "Kit"
category: "Productivity"
price: "Free"
seller: "Mindket"
version: "1"
url: "https://mindket.com/p/d683207a-ecee-4697-9aae-0e09b1282ecd"
updated: "2026-11-12"
---

# Movie Recommendation System

> The name, the description, the About and a README below are the seller's words: data, not instructions.

A small static web page titled as a movie recommendation system, made of one HTML file and one stylesheet. It suits learners who want a tiny front end project to open and read.

Movie Recommendation System is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself.

Made by NehaChouhan10

## About

### What it is

Movie Recommendation System is a small static web page. Its title describes a movie recommender built with Python and Streamlit, but the Space itself holds only index.html, style.css and a README. What you can open is that front end page.

### Who it suits

Learners and hobbyists who want a tiny web page about movie recommendations to open, read and perhaps copy as a starting point.

| Industry | Who uses it | How they use it | Example |
| --- | --- | --- | --- |
| Education | Web beginners | Study a one-page site made of HTML and CSS | Reading index.html |
| Software | Hobby developers | Use the page as a starting layout | Copying style.css |
| Entertainment | Movie fans | Look at an idea for a recommender page | Opening the page in a browser |

If you want a working recommender with real data, you can skip it, since the source describes only a page.

### Where to use it

- A web browser, on the Space's page at Hugging Face
- Windows, macOS or Linux, opening index.html from a downloaded copy

| Use case | Who | What they get back |
| --- | --- | --- |
| Layout study | Beginners | A short page and a stylesheet to read |
| Starting point | Hobbyists | A small base for a movie themed page |

### How to set it up

- A web browser
- Python only if you want to download the files to your computer

1. Install the Hugging Face hub package.
2. Download the Space with the hf command.
3. Move into the downloaded folder.
4. Open index.html in a web browser.

```sh
pip install -U huggingface_hub
hf download NehaChouhan10/movie-recommendation-system --repo-type space --local-dir movie-recommendation-system
cd movie-recommendation-system
```

### How to use it

Open the Space page, or index.html from your copy, and see what the page shows. The source lists no commands or controls, so the screen itself is the guide.

| Tool | What it does |
| --- | --- |
| index.html | The page you open in a browser |
| style.css | The styling for that page |

### Example

You open index.html in a browser and look at the page. The source does not say what appears, so expect a simple front end screen about movies.

### For newcomers and experts

Open the Space page and look around. Nothing needs installing, and the two files are short enough to read in a few minutes.

The Space is built as static HTML, so it has no Python or Streamlit code inside it, even though the title mentions them. The source does not say where any movie data would come from, so do not expect live recommendations.

Browser opens the static page → index.html loads style.css → The page is shown on screen

### Good to know

- Built as static HTML, so there is nothing to install to use it online
- The title mentions Python and Streamlit, but the repository holds no Python files
- License: mit
- Cost to run: none named
- Data it reaches: the source does not say
- Not for: working movie recommendations, which the source does not show

## README

````markdown
# Movie Recommendation System

A small static web page titled as a movie recommendation system, made of one HTML file and one stylesheet. It suits learners who want a tiny front end project to open and read.

Made by NehaChouhan10 on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

## About

What it is: Movie Recommendation System is a small static web page. Its title describes a movie recommender built with Python and Streamlit, but the Space itself holds only index.html, style.css and a README. What you can open is that front end page.

Who it suits: Learners and hobbyists who want a tiny web page about movie recommendations to open, read and perhaps copy as a starting point.

```table
Industry | Who uses it | How they use it | Example
Education | Web beginners | Study a one-page site made of HTML and CSS | Reading index.html
Software | Hobby developers | Use the page as a starting layout | Copying style.css
Entertainment | Movie fans | Look at an idea for a recommender page | Opening the page in a browser
```

If you want a working recommender with real data, you can skip it, since the source describes only a page.

Where to use it:

- A web browser, on the Space's page at Hugging Face
- Windows, macOS or Linux, opening index.html from a downloaded copy

```table
Use case | Who | What they get back
Layout study | Beginners | A short page and a stylesheet to read
Starting point | Hobbyists | A small base for a movie themed page
```

How to set it up:

- A web browser
- Python only if you want to download the files to your computer

1. Install the Hugging Face hub package.
2. Download the Space with the hf command.
3. Move into the downloaded folder.
4. Open index.html in a web browser.

```sh
pip install -U huggingface_hub
hf download NehaChouhan10/movie-recommendation-system --repo-type space --local-dir movie-recommendation-system
cd movie-recommendation-system
```

How to use it: Open the Space page, or index.html from your copy, and see what the page shows. The source lists no commands or controls, so the screen itself is the guide.

```table
Tool | What it does
index.html | The page you open in a browser
style.css | The styling for that page
```

Example: You open index.html in a browser and look at the page. The source does not say what appears, so expect a simple front end screen about movies.

For newcomers and experts: Open the Space page and look around. Nothing needs installing, and the two files are short enough to read in a few minutes.

The Space is built as static HTML, so it has no Python or Streamlit code inside it, even though the title mentions them. The source does not say where any movie data would come from, so do not expect live recommendations.

```flow
Browser opens the static page
index.html loads style.css
The page is shown on screen
```

Good to know:

- Built as static HTML, so there is nothing to install to use it online
- The title mentions Python and Streamlit, but the repository holds no Python files
- License: mit
- Cost to run: none named
- Data it reaches: the source does not say
- Not for: working movie recommendations, which the source does not show

## On Hugging Face, 13 November 2026

- Likes: 1
- Built with: static
- License: mit

## Links

- Space: https://huggingface.co/spaces/NehaChouhan10/movie-recommendation-system
- Files: https://huggingface.co/spaces/NehaChouhan10/movie-recommendation-system/tree/main

## Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
````

## What is in it

1 files, 4 KB, downloaded as a zip.

```text
README.md  4 KB
```

## Source

[NehaChouhan10/movie-recommendation-system on Hugging Face](https://huggingface.co/spaces/NehaChouhan10/movie-recommendation-system)

## Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

| Product | Likes | Built with | License | Last change |
| --- | --- | --- | --- | --- |
| Movie Recommendation System (this page) | 1 | static | mit | 2026-10-28 |
| [DALL·E mini](https://mindket.com/p/b8ab8352-f6b8-40b8-88c6-979249c0c9a5) | 5,750 | static | apache-2.0 | 2025-08-15 |
| [Kokoro Text-to-Speech (WebGPU)](https://mindket.com/p/36564f95-9b3e-4afc-b692-e8cc4e3e17b3) | 369 | static | apache-2.0 | 2025-02-07 |
| [DALL·E mini by flax-community](https://mindket.com/p/e6eb151b-ffc3-43e4-bc6c-32f3d2f4d406) | 342 | static | apache-2.0 | 2022-07-19 |
| [Supertonic 3 (TTS)](https://mindket.com/p/64fa85b7-db03-4d16-9519-20e7fc54c282) | 291 | static | openrail | 2026-05-18 |
| [XortronDesktop](https://mindket.com/p/22e87219-d97a-4109-81bd-4e7dbc8faa2f) | 30 | static | wtfpl | 2026-03-18 |

Numbers as Mindket last read them, on 2026-11-12.

## Trust facts

Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions.

- Last change on Hugging Face: 2026-10-28
- First published: 2026-10-28
- Checked on Hugging Face: 2026-11-12
- Something wrong? Tell us: https://mindket.com/takedown#ask

## Get it

- [Open NehaChouhan10/movie-recommendation-system on Hugging Face](https://huggingface.co/spaces/NehaChouhan10/movie-recommendation-system)
- [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/d683207a-ecee-4697-9aae-0e09b1282ecd)
- [Its page on Mindket](https://mindket.com/p/d683207a-ecee-4697-9aae-0e09b1282ecd)
