Update Gadh
Create a Healthcare Recommendation System Using Python & Flask(Real Time Use)
Healthcare Recommendation System Build a smart health assistant web app with real-time recommendations tailored to user profiles and symptom
🏥💡 Healthcare Recommendation System – Python Project 🐍🧠
Build an intelligent system that suggests healthcare tips, services, or treatment based on user input! A practical and impactful data science project.
🔍 Key Features:
🧾 User-based health recommendations
🧠 Machine Learning + Python logic
📊 Easy to customize and expand
💬 Improves user awareness & health decision-making
🆓 Fully open source & beginner-friendly
🔗 Download & Source Code:
👉 Healthcare Recommendation Project
🌟 Get more smart projects with source code:
🔗 https://t.me/Projectwithsourcecodes
🚀 Make smarter, healthier choices — powered by AI.
#HealthcareAI #PythonProject #RecommendationSystem #DataScience #MachineLearning #StudentProject #AIForGood #OpenSourceCode #Projectwithsourcecodes
Build an intelligent system that suggests healthcare tips, services, or treatment based on user input! A practical and impactful data science project.
🔍 Key Features:
🧾 User-based health recommendations
🧠 Machine Learning + Python logic
📊 Easy to customize and expand
💬 Improves user awareness & health decision-making
🆓 Fully open source & beginner-friendly
🔗 Download & Source Code:
👉 Healthcare Recommendation Project
🌟 Get more smart projects with source code:
🔗 https://t.me/Projectwithsourcecodes
🚀 Make smarter, healthier choices — powered by AI.
#HealthcareAI #PythonProject #RecommendationSystem #DataScience #MachineLearning #StudentProject #AIForGood #OpenSourceCode #Projectwithsourcecodes
Update Gadh
Best Game Recommender System Using Machine Learning
A simple project on the Game Recommender System that leverages data-driven techniques to suggest games based on user preferences
🤝 Game Recommender System – Python / Streamlit
A machine learning-based project that recommends video games to users based on their interests and preferences. It uses collaborative and content-based filtering techniques to deliver personalized game suggestions through an interactive Streamlit web app.
Key Features
• Personalized game recommendations
• Collaborative & content-based filtering models
• Real dataset integration for accurate results
• Streamlit-based interactive user interface
• Modular and easy-to-customize code structure
🔗 Explore the full project here:
Game Recommender System – View Project
📢 Discover more projects:
https://t.me/Projectwithsourcecodes
#Python #MachineLearning #Streamlit #RecommendationSystem #GameRecommender #DataScience #AI #MLProject #SourceCode #ProjectShowcase
A machine learning-based project that recommends video games to users based on their interests and preferences. It uses collaborative and content-based filtering techniques to deliver personalized game suggestions through an interactive Streamlit web app.
Key Features
• Personalized game recommendations
• Collaborative & content-based filtering models
• Real dataset integration for accurate results
• Streamlit-based interactive user interface
• Modular and easy-to-customize code structure
🔗 Explore the full project here:
Game Recommender System – View Project
📢 Discover more projects:
https://t.me/Projectwithsourcecodes
#Python #MachineLearning #Streamlit #RecommendationSystem #GameRecommender #DataScience #AI #MLProject #SourceCode #ProjectShowcase