https://github.com/harshitdhar9/hair_tracker_ai

Machine Learning Application
https://github.com/harshitdhar9/hair_tracker_ai

artificial-intelligence html-css machine-learning python streamlit streamlit-cloud

Last synced: about 1 month ago
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Machine Learning Application

• Host: GitHub
• URL: https://github.com/harshitdhar9/hair_tracker_ai
• Owner: harshitdhar9
• License: gpl-3.0
• Created: 2024-08-19T10:42:43.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-11-14T09:02:56.000Z (3 months ago)
• Last Synced: 2024-11-14T09:31:49.599Z (3 months ago)
• Topics: artificial-intelligence, html-css, machine-learning, python, streamlit, streamlit-cloud
• Language: Jupyter Notebook
• Homepage:
• Size: 2.45 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Security: SECURITY.md

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README

        
Hair Tracker AI

Hair Tracker AI is an advanced AI-powered application that leverages machine learning models to provide tailored solutions for various hair-related concerns. The app uses four distinct models to address common issues such as hair loss prediction, product recommendations, hair type classification, and overall hair health monitoring. The datasets used for these models are sourced from Kaggle, ensuring robust training and reliable predictions.

Key Features:

Hair Loss Prediction: Accurately predicts the likelihood of hair loss based on multiple factors such as age, genetics, lifestyle, and more.

Hair Care Product Recommendation: Recommends the best hair care products suited for different hair types and conditions, offering personalized hair care routines.

Hair Type Classification: Identifies and classifies hair into distinct types (straight, wavy, curly) based on visual and structural features.

Hair Health Monitoring: Continuously monitors hair health, detecting signs of damage, thinning, or other health issues for proactive care.

The application is powered by four comprehensive datasets sourced from Kaggle:

1) https://www.kaggle.com/datasets/vyombhatia/the-three-hair-types

2)https://www.kaggle.com/datasets/lukexun/luke-hair-loss-dataset

3) https://www.kaggle.com/datasets/sundarannamalai/hair-diseases

Hair Loss Dataset: Contains data on hair loss patterns and factors influencing hair loss.

Three Hair Types Dataset: Provides a dataset for classifying hair into three types—straight, wavy, and curly.

Hair Diseases Dataset: A dataset focused on various hair diseases and their symptoms for early detection and treatment recommendations.

Deployment:

The app is built with Streamlit for a sleek and user-friendly interface. Streamlit allows for interactive usage and easy deployment, making it accessible for non-technical users.

https://hair-tracker-ai.streamlit.app/

How to Use:

Hair Loss Prediction: Input relevant details to receive insights on the likelihood of experiencing hair loss.

Product Recommendation: Get personalized hair care product suggestions based on your hair type and health condition.

Hair Type Classification: Upload a hair image or provide a description for accurate hair type classification.

Hair Health Monitoring: Regularly track your hair health, detect issues early, and get actionable advice.

This application aims to provide a comprehensive solution to improve hair care routines and proactively address hair-related concerns through AI.