# zhangleino1/WIFI-SCI-Indoor-Positioning

<https://repo.masters-masters.com/en/repos/zhangleino1/WIFI-SCI-Indoor-Positioning>

[Home](https://repo.masters-masters.com/en) › [zhangleino1](https://repo.masters-masters.com/en/owners/zhangleino1) › [WIFI-SCI-Indoor-Positioning](https://repo.masters-masters.com/en/repos/zhangleino1/WIFI-SCI-Indoor-Positioning)

zhangleino1/WIFI-SCI-Indoor-Positioning has 153 stars on GitHub. Its RepoMasters card: Prototype tier. This is an open-source project that employs deep…

| Field | Value |
| --- | --- |
| Owner | [zhangleino1](https://repo.masters-masters.com/en/owners/zhangleino1) |
| Stars | 153 |
| Forks | 21 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Topics | indoor-localization, indoor-navigation, indoor-positioning, wifi-csi |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [zhangleino1/WIFI-SCI-Indoor-Positioning](https://github.com/zhangleino1/WIFI-SCI-Indoor-Positioning) |

## Repository

This is an open-source project that employs deep learning to enhance indoor positioning using WiFi Channel State Information (CSI). This project aims to harness the detailed data from CSI, such as signal amplitude, phase, and environmental properties, to accurately locate devices inside buildings w…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.