{"id":19767644,"url":"https://github.com/harshitdhar9/hair_tracker_ai","last_synced_at":"2026-05-06T19:06:16.601Z","repository":{"id":261437204,"uuid":"844476207","full_name":"harshitdhar9/Hair_Tracker_AI","owner":"harshitdhar9","description":"Machine Learning Application","archived":false,"fork":false,"pushed_at":"2024-11-18T05:36:16.000Z","size":99937,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-11T00:27:22.088Z","etag":null,"topics":["artificial-intelligence","html-css","machine-learning","python","streamlit","streamlit-cloud"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/harshitdhar9.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-19T10:42:43.000Z","updated_at":"2024-11-18T05:36:19.000Z","dependencies_parsed_at":"2024-11-06T15:34:23.536Z","dependency_job_id":"9a0f32d9-14f0-4b1d-a741-ec78486ca20d","html_url":"https://github.com/harshitdhar9/Hair_Tracker_AI","commit_stats":null,"previous_names":["harshitdhar9/hair_tracker_ai"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harshitdhar9%2FHair_Tracker_AI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harshitdhar9%2FHair_Tracker_AI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harshitdhar9%2FHair_Tracker_AI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harshitdhar9%2FHair_Tracker_AI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/harshitdhar9","download_url":"https://codeload.github.com/harshitdhar9/Hair_Tracker_AI/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241100186,"owners_count":19909656,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["artificial-intelligence","html-css","machine-learning","python","streamlit","streamlit-cloud"],"created_at":"2024-11-12T04:31:20.997Z","updated_at":"2026-05-06T19:06:16.573Z","avatar_url":"https://github.com/harshitdhar9.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Hair Tracker AI\n\nHair 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.\n\nKey Features:\nHair Loss Prediction: Accurately predicts the likelihood of hair loss based on multiple factors such as age, genetics, lifestyle, and more.\n\nHair Care Product Recommendation: Recommends the best hair care products suited for different hair types and conditions, offering personalized hair care routines.\n\nHair Type Classification: Identifies and classifies hair into distinct types (straight, wavy, curly) based on visual and structural features.\n\nHair Health Monitoring: Continuously monitors hair health, detecting signs of damage, thinning, or other health issues for proactive care.\n\nThe application is powered by four comprehensive datasets sourced from Kaggle:\n\n1) https://www.kaggle.com/datasets/vyombhatia/the-three-hair-types\n\n2)https://www.kaggle.com/datasets/lukexun/luke-hair-loss-dataset\n\n3) https://www.kaggle.com/datasets/sundarannamalai/hair-diseases\n\nHair Loss Dataset: Contains data on hair loss patterns and factors influencing hair loss.\n\nThree Hair Types Dataset: Provides a dataset for classifying hair into three types—straight, wavy, and curly.\n\nHair Diseases Dataset: A dataset focused on various hair diseases and their symptoms for early detection and treatment recommendations.\n\nDeployment:\nThe 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.\nhttps://hair-tracker-ai.streamlit.app/\n\nHow to Use:\nHair Loss Prediction: Input relevant details to receive insights on the likelihood of experiencing hair loss.\n\nProduct Recommendation: Get personalized hair care product suggestions based on your hair type and health condition.\n\nHair Type Classification: Upload a hair image or provide a description for accurate hair type classification.\n\nHair Health Monitoring: Regularly track your hair health, detect issues early, and get actionable advice.\n\nThis application aims to provide a comprehensive solution to improve hair care routines and proactively address hair-related concerns through AI.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fharshitdhar9%2Fhair_tracker_ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fharshitdhar9%2Fhair_tracker_ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fharshitdhar9%2Fhair_tracker_ai/lists"}