---
title: Facial  Keypoints  Detection
emoji: 🚀
colorFrom: red
colorTo: red
sdk: docker
app_port: 8501
tags:
- streamlit
pinned: false
short_description: Streamlit template space
---

# 🧠 Facial Keypoints Detection

A Streamlit application that predicts facial keypoints using a trained ResNet model.

---

## 📌 What this app does

- Upload a face image
- Converts image to grayscale
- Resizes to 96x96
- Predicts facial keypoints (eyes, nose, mouth, etc.)
- Visualizes the keypoints directly on the image

---

## 🖼 Example Workflow

1. Upload a front-facing face image
2. Model predicts keypoints
3. Red dots appear on facial landmarks

---

## 🏗 Model

- Architecture: ResNet-based CNN
- Input shape: 96x96 grayscale
- Output: (x, y) coordinates for facial landmarks
- Loss used during training: MSE

---

## 🛠 Tech Stack

- Streamlit
- TensorFlow / Keras
- NumPy
- Matplotlib
- Pillow

---

## 🚀 Run locally

```bash
pip install -r requirements.txt
streamlit run src/streamlit_app.py