Update Gadh
Diabetes Prediction Using Machine Learning Based Web App
Diabetes Prediction This project is a professional-level web app built to predict the risk of diabetes in patients using clinical details like glucose level,
🩺🔍 Diabetes Prediction System – Python Project 🐍📊
Predict the likelihood of diabetes using patient health data with machine learning. A must-have project for healthcare AI and data science portfolios!
🔍 Key Features:
✅ Predicts diabetes based on key health indicators
📊 Uses Logistic Regression, SVM, etc.
📁 Dataset preprocessing & visualization
💻 Built with Python, Pandas, scikit-learn
🔗 Download & Source Code:
👉 Diabetes Prediction – Python Project
📢 For more AI & healthcare-based projects:
🔗 https://t.me/Projectwithsourcecodes
📈 Make smart healthcare predictions with data!
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Predict the likelihood of diabetes using patient health data with machine learning. A must-have project for healthcare AI and data science portfolios!
🔍 Key Features:
✅ Predicts diabetes based on key health indicators
📊 Uses Logistic Regression, SVM, etc.
📁 Dataset preprocessing & visualization
💻 Built with Python, Pandas, scikit-learn
🔗 Download & Source Code:
👉 Diabetes Prediction – Python Project
📢 For more AI & healthcare-based projects:
🔗 https://t.me/Projectwithsourcecodes
📈 Make smart healthcare predictions with data!
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Update Gadh
Best Deep Dive Zomato Data Analysis Project Using Python & Power BI
This is a project called “Zomato Data Analysis with Python and Power BI” made by UPDATEGADH. It’s all about using real Zomato data
🍽️ Zomato Data Analysis – Python Project
A data-driven exploration of Zomato’s restaurant dataset, focused on uncovering insights into cuisines, pricing trends, user ratings, and geographical distributions. A strong addition to any data science portfolio.
📊 Key Features
• Exploratory Data Analysis (EDA) with Pandas & Matplotlib
• City-wise restaurant insights & trends
• Cuisine popularity and rating comparisons
• Visualizations using Seaborn & Plotly
• Ideal for learning data wrangling and storytelling
🔗 Access the Full Project:
Zomato Data Analysis – Python
📢 Explore more data science projects and source code:
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A data-driven exploration of Zomato’s restaurant dataset, focused on uncovering insights into cuisines, pricing trends, user ratings, and geographical distributions. A strong addition to any data science portfolio.
📊 Key Features
• Exploratory Data Analysis (EDA) with Pandas & Matplotlib
• City-wise restaurant insights & trends
• Cuisine popularity and rating comparisons
• Visualizations using Seaborn & Plotly
• Ideal for learning data wrangling and storytelling
🔗 Access the Full Project:
Zomato Data Analysis – Python
📢 Explore more data science projects and source code:
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Best Flipkart Review Sentiment Analysis – A Complete MLOps-Based Web App
This Flipkart Review Sentiment Analysis project is like a full-on machine learning setup that checks how people feel based on their product reviews.
🛍️ Flipkart Review Sentiment Analysis – Python Project
A machine learning project focused on analyzing customer reviews from Flipkart to determine sentiment polarity (positive, negative, or neutral). A great fit for anyone diving into NLP and eCommerce analytics.
🧠 Key Features
• Text preprocessing & cleaning
• Sentiment classification using ML models
• Visual representation of review sentiment
• Built with Python, Pandas, Sklearn & Matplotlib
• Real-world dataset used for training & testing
🔗 Project Link:
Flipkart Review Sentiment Analysis – View Project
📢 Discover more hands-on machine learning & Python projects:
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A machine learning project focused on analyzing customer reviews from Flipkart to determine sentiment polarity (positive, negative, or neutral). A great fit for anyone diving into NLP and eCommerce analytics.
🧠 Key Features
• Text preprocessing & cleaning
• Sentiment classification using ML models
• Visual representation of review sentiment
• Built with Python, Pandas, Sklearn & Matplotlib
• Real-world dataset used for training & testing
🔗 Project Link:
Flipkart Review Sentiment Analysis – View Project
📢 Discover more hands-on machine learning & Python projects:
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Update Gadh
Best Cotton Disease prediction — AI-Powered Plant Health Classification Web App
The Cotton Disease prediction is a deep learning-powered web application built to classify cotton plant health based on uploaded leaf or plant image
🌱 Cotton Disease Prediction – Data Science Project
A precision agriculture solution that leverages image classification and machine learning to detect diseases in cotton crops. This project supports early intervention and better crop management.
🔍 Project Highlights
• Image preprocessing & augmentation
• CNN-based disease detection
• Trained on real cotton leaf datasets
• Developed using Python, TensorFlow/Keras
• Boosts agricultural productivity through AI
🔗 View Full Project:
Cotton Disease Prediction – Explore Now
📢 Discover more AI & agri-tech solutions:
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A precision agriculture solution that leverages image classification and machine learning to detect diseases in cotton crops. This project supports early intervention and better crop management.
🔍 Project Highlights
• Image preprocessing & augmentation
• CNN-based disease detection
• Trained on real cotton leaf datasets
• Developed using Python, TensorFlow/Keras
• Boosts agricultural productivity through AI
🔗 View Full Project:
Cotton Disease Prediction – Explore Now
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Best Smart Product Review Sentiment Analysis with Real-Time Insights
Product Review Sentiment Analysis Knowing what people actually think about a product is super important for companies that want to make
📣 Product Review Sentiment Analysis – Python Project
Leverage natural language processing to analyze product review sentiment and classify user feedback as positive, negative, or neutral. A valuable project for e-commerce platforms and NLP learners.
🔍 Key Features
• Text preprocessing and sentiment scoring
• Classification with Naive Bayes / Logistic Regression
• Visualization of sentiment distribution and analytics
• Built using Python, Pandas, Scikit-learn, Matplotlib
• Ideal for e‑commerce analytics and portfolio projects
🔗 Explore Project:
Product Review Sentiment Analysis – View Now
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Leverage natural language processing to analyze product review sentiment and classify user feedback as positive, negative, or neutral. A valuable project for e-commerce platforms and NLP learners.
🔍 Key Features
• Text preprocessing and sentiment scoring
• Classification with Naive Bayes / Logistic Regression
• Visualization of sentiment distribution and analytics
• Built using Python, Pandas, Scikit-learn, Matplotlib
• Ideal for e‑commerce analytics and portfolio projects
🔗 Explore Project:
Product Review Sentiment Analysis – View Now
📢 More practical AI & Python projects available at:
🔗 https://t.me/Projectwithsourcecodes
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Update Gadh
Best Fake News Detection App – Machine Learning and Flask Based Web Application
The FFake News Detection App is a smart web application developed using Python and the Flask framework. It uses machine learning algorithms
📌 Fake News Detection App
Developed with Python, Flask, and Machine Learning, this application offers:
🧠 Machine learning algorithms for news classification.
🗣️ Natural Language Processing for text analysis.
🌐 Web interface built with Flask.
⚡ Real-time news authenticity detection.
🔗 View the Project: Fake News Detection App
#Python #MachineLearning #AI #Flask #WebDevelopment #FakeNewsDetection #NaturalLanguageProcessing #TechForGood #DataScience #CodingProject #OpenSource #TechCommunity #Innovation #DigitalLiteracy #Misinformation #TechSolutions #SoftwareDevelopment #LearnToCode #ArtificialIntelligence #TechForChange
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Developed with Python, Flask, and Machine Learning, this application offers:
🧠 Machine learning algorithms for news classification.
🗣️ Natural Language Processing for text analysis.
🌐 Web interface built with Flask.
⚡ Real-time news authenticity detection.
🔗 View the Project: Fake News Detection App
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Best Travel Itinerary Generator Using AI — The Ultimate Trip Planning Solution
The Travel Itinerary Generator Using AI is a smart application that makes travel planning quick and easy. Whether it’s a short weekend trip, a city
✈️ Plan Your Perfect Trip with AI-Powered Itineraries!
Tired of spending hours planning your travels? Let this Python-based app do the heavy lifting. Input your destination, travel dates, and budget, and receive a personalized itinerary complete with activities, attractions, accommodations, and weather forecasts.
✨ Key Features:
🌍 Destination-Based Planning: Generates itineraries based on your chosen location.
💰 Budget-Friendly Suggestions: Tailors recommendations to fit your budget.
☀️ Weather Forecasts: Provides weather updates for your travel dates.
🛏️ Accommodation Recommendations: Suggests places to stay during your trip.
🔗 Explore the Project: Travel Itinerary Generator
#Python #Flask #AI #TravelPlanning #GenerativeAI #TechForTravel #BudgetTravel #TravelItinerary #DataScience #OpenSourceProject #SoftwareDevelopment #TechCommunity #Innovation #TravelTech #CodingProject #LearnToCode #TechSolutions #ArtificialIntelligence #TravelGoals #ExploreTheWorld
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Tired of spending hours planning your travels? Let this Python-based app do the heavy lifting. Input your destination, travel dates, and budget, and receive a personalized itinerary complete with activities, attractions, accommodations, and weather forecasts.
✨ Key Features:
🌍 Destination-Based Planning: Generates itineraries based on your chosen location.
💰 Budget-Friendly Suggestions: Tailors recommendations to fit your budget.
☀️ Weather Forecasts: Provides weather updates for your travel dates.
🛏️ Accommodation Recommendations: Suggests places to stay during your trip.
🔗 Explore the Project: Travel Itinerary Generator
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Update Gadh
Best College Prediction System Using Python , Data Science & ML
The College Prediction System is a smart web-based tool designed to guide students through one of the most crucial steps in their academic journe
📌 College Prediction System
Predict the best-fit colleges based on your academic profile.
Built with Python, Flask, and Machine Learning.
🤖 AI-based recommendation engine
📊 Score & rank-based predictions
🌍 Filters by location & preferences
📈 Interactive results dashboard
🔗 Project Link: College Prediction System
#Python #MachineLearning #AI #CollegePrediction #StudentLife #DataScience #Flask #TechForEducation #EdTech #CodingProjects #OpenSource #SoftwareDevelopment #ProgrammingLife #LearnToCode #DataDriven #StudentGoals #MLProject #TechCommunity #StudySmart #AIinEducation
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Predict the best-fit colleges based on your academic profile.
Built with Python, Flask, and Machine Learning.
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📊 Score & rank-based predictions
🌍 Filters by location & preferences
📈 Interactive results dashboard
🔗 Project Link: College Prediction System
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Best College Predictor— A Django-Based Web Application
The College Predictor is a purpose-built web application designed to help students estimate potential colleges they can secure admission
🎓 Your AI Guide to College Admissions!
Confused about which college you might get into? The College Predictor project uses Python and Machine Learning to forecast your chances, helping you shortlist the best-fit institutions based on your entrance exam rank, category, and preferences.
✨ Key Features:
🤖 ML-Based Predictions – Accurate results using historical admission data.
📊 Rank & Category Filters – Tailored predictions to your profile.
🌍 State & College Filters – Narrow down to your preferred location.
📈 User-Friendly Web Interface – Clean and intuitive design for easy access.
🔗 Explore the Project: https://updategadh.com/python-projects/college-predictor/
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Confused about which college you might get into? The College Predictor project uses Python and Machine Learning to forecast your chances, helping you shortlist the best-fit institutions based on your entrance exam rank, category, and preferences.
✨ Key Features:
🤖 ML-Based Predictions – Accurate results using historical admission data.
📊 Rank & Category Filters – Tailored predictions to your profile.
🌍 State & College Filters – Narrow down to your preferred location.
📈 User-Friendly Web Interface – Clean and intuitive design for easy access.
🔗 Explore the Project: https://updategadh.com/python-projects/college-predictor/
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Crime Rate Prediction Using Machine Learning
Crime Rate Prediction is a specialized web application designed to forecast crime rates across 19 major Indian metropolitan cities, helping
🚔 Crime Rate Predictor – Python / Machine Learning Project
Empower public safety with data-driven foresight. This Crime Rate Predictor uses Python and a Random Forest Regression model to forecast crime rates across 19 major Indian cities. Ideal for developers exploring predictive analytics, smart cities, and real-world data science impact.
Key Features
• Predicts rates for 10 different crime categories (e.g., cybercrimes, crimes against women)
• Covers 19 Indian metropolitan cities with data spanning 2014 to 2021
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+1
• Built using Random Forest Regression for high accuracy (~93.2%)
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• User-friendly interface: select city, crime type, and year—get immediate predictions
🔗 Explore the full project here:
Crime Rate Predictor – View Project
📢 Discover more practical, real-world Python and ML projects:
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Empower public safety with data-driven foresight. This Crime Rate Predictor uses Python and a Random Forest Regression model to forecast crime rates across 19 major Indian cities. Ideal for developers exploring predictive analytics, smart cities, and real-world data science impact.
Key Features
• Predicts rates for 10 different crime categories (e.g., cybercrimes, crimes against women)
• Covers 19 Indian metropolitan cities with data spanning 2014 to 2021
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• Built using Random Forest Regression for high accuracy (~93.2%)
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• User-friendly interface: select city, crime type, and year—get immediate predictions
🔗 Explore the full project here:
Crime Rate Predictor – View Project
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Stock Price Prediction with Machine Learning – Professional Django Web App
Stock Price Prediction with Machine Learning is a fully functional web application that provides real-time stock market insights along with accurate
📈 Stock Price Prediction – Python Project
Predict future stock market trends using Python and machine learning. A perfect project for finance, data science, and AI enthusiasts looking to explore predictive analytics.
Key Features
• Real-time stock data fetching and analysis
• Interactive charts for trend visualization
• Predictive model using historical data
• Simple, user-friendly interface for quick insights
🔗 Explore the full project here:
Stock Price Prediction – View Project
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• Real-time stock data fetching and analysis
• Interactive charts for trend visualization
• Predictive model using historical data
• Simple, user-friendly interface for quick insights
🔗 Explore the full project here:
Stock Price Prediction – View Project
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Best Gold Price Prediction Using Machine Learning
Gold Price Prediction This project focuses on predicting gold prices in INR using Machine Learning and time-series forecasting methods. It makes
💰 Gold Price Prediction – Python Project
Predict gold price trends using data science and machine learning. Ideal for developers looking to apply forecasting techniques in finance.
Key Features
• Uses historical gold pricing data for modeling
• Employs regression techniques (e.g., Linear Regression, ARIMA)
• Visualizes predicted vs actual price trends
• Built with Python libraries like pandas, scikit-learn, or statsmodels
🔗 Explore the full project here:
Gold Price Prediction – View Project
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Predict gold price trends using data science and machine learning. Ideal for developers looking to apply forecasting techniques in finance.
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• Uses historical gold pricing data for modeling
• Employs regression techniques (e.g., Linear Regression, ARIMA)
• Visualizes predicted vs actual price trends
• Built with Python libraries like pandas, scikit-learn, or statsmodels
🔗 Explore the full project here:
Gold Price Prediction – View Project
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Hotel Price Prediction Machine Learning
Hotel Price Prediction This project aims to predict hotel room prices on Booking.com for major cities in Saudi Arabia, with prices given in
📊 Hotel Price Prediction – Python Project
Predict hotel room prices using machine learning and historical data. Ideal for developers exploring regression, time-series models, and pricing strategy tools.
Key Features
• Uses historical hotel data to train prediction models
• Applies regression techniques (e.g., Linear Regression, Random Forest, XGBoost)
• Visual comparison of actual vs. predicted price trends
• Built with Python data libraries like pandas, scikit-learn, or statsmodels
🔗 Explore the full project here:
Hotel Price Prediction – View Project
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