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Animal Prediction System Using Python & Django – Final Year Paid Project
The Animal Prediction System is a smart web application that uses machine learning to recognize animal species from uploaded images. Built with
🦁🔍 Animal Prediction System – Python Project 🐍💡
Predict the type of animal based on its features using machine learning. A beginner-friendly project to understand classification in action!
🔍 Key Features:
✅ Predicts animals using key attributes
📊 Built using Decision Trees / SVM / KNN
📁 Includes dataset preprocessing & model training
💻 Developed with Python, Pandas, scikit-learn
🆓 100% Free to download with source code
🔗 Download & Source Code:
👉 Animal Prediction System – Python
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🧠 Great starter project for machine learning learners!
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Predict the type of animal based on its features using machine learning. A beginner-friendly project to understand classification in action!
🔍 Key Features:
✅ Predicts animals using key attributes
📊 Built using Decision Trees / SVM / KNN
📁 Includes dataset preprocessing & model training
💻 Developed with Python, Pandas, scikit-learn
🆓 100% Free to download with source code
🔗 Download & Source Code:
👉 Animal Prediction System – Python
📢 Explore more ML & classification projects:
🔗 https://t.me/Projectwithsourcecodes
🧠 Great starter project for machine learning learners!
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Food Delivery Time Prediction System Using Machine Learning
Food Delivery Time Prediction System So basically, this project is about using AI to guess how long food delivery will take. It looks at stuff like
🍔📦 Food Delivery Time Prediction – Data Science Project 🧠
Predict delivery time based on restaurant, order, and traffic data using powerful machine learning techniques!
🚀 Project Highlights:
✅ Predict food delivery ETA using ML algorithms
📊 Involves feature engineering, regression models
📁 Built with Python, Pandas, scikit-learn
📉 Ideal for Data Science and Final Year Projects
🔗 Download Now:
👉 Food Delivery Time Prediction – Project
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🔗 https://t.me/Projectwithsourcecodes
📦 Make your ML skills deliver on time!
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Predict delivery time based on restaurant, order, and traffic data using powerful machine learning techniques!
🚀 Project Highlights:
✅ Predict food delivery ETA using ML algorithms
📊 Involves feature engineering, regression models
📁 Built with Python, Pandas, scikit-learn
📉 Ideal for Data Science and Final Year Projects
🔗 Download Now:
👉 Food Delivery Time Prediction – Project
📢 Explore more ML & Data Science projects:
🔗 https://t.me/Projectwithsourcecodes
📦 Make your ML skills deliver on time!
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Best Airline Fare Prediction System – A Complete Machine Learning Web App Using Flask
This project is a full working airline fare prediction web app made using Python and Flask. It uses a machine learning model trained on
✈️ Airline Fare Prediction – Data Science Project
An advanced machine learning model designed to predict airline ticket prices based on features like source, destination, duration, airline, and more. A valuable project for travel tech and data-driven pricing models.
📈 Project Highlights
• Data preprocessing & feature engineering
• Model building using Regression techniques
• Visual analysis of pricing patterns
• Built using Python, Pandas, Matplotlib, Scikit-learn
• Ideal for students & professionals in data science
🔗 Explore Project:
Airline Fare Prediction – Full Details
📢 Find more ML & AI-based academic projects:
🔗 https://t.me/Projectwithsourcecodes
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An advanced machine learning model designed to predict airline ticket prices based on features like source, destination, duration, airline, and more. A valuable project for travel tech and data-driven pricing models.
📈 Project Highlights
• Data preprocessing & feature engineering
• Model building using Regression techniques
• Visual analysis of pricing patterns
• Built using Python, Pandas, Matplotlib, Scikit-learn
• Ideal for students & professionals in data science
🔗 Explore Project:
Airline Fare Prediction – Full Details
📢 Find more ML & AI-based academic projects:
🔗 https://t.me/Projectwithsourcecodes
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Real-Time Life Expectancy Prediction Using Deep Learning
The Life Expectancy Prediction is an advanced real-time web application that leverages deep learning to estimate an individual’s life expectancy
📊 Life Expectancy Prediction – Data Science Project
A powerful predictive model that estimates life expectancy based on various socio-economic and health-related factors. This project is ideal for those exploring data-driven healthcare and policy analytics.
🧠 Key Highlights
• Predicts life expectancy using regression models
• Analyzes features like GDP, BMI, immunization rates, etc.
• Data preprocessing, EDA & model evaluation included
• Developed using Python, Pandas, Matplotlib, Sklearn
• Great for data science portfolios and academic use
🔗 Explore Full Project:
Life Expectancy Prediction – View Now
📢 Find more real-world data science projects:
🔗 https://t.me/Projectwithsourcecodes
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A powerful predictive model that estimates life expectancy based on various socio-economic and health-related factors. This project is ideal for those exploring data-driven healthcare and policy analytics.
🧠 Key Highlights
• Predicts life expectancy using regression models
• Analyzes features like GDP, BMI, immunization rates, etc.
• Data preprocessing, EDA & model evaluation included
• Developed using Python, Pandas, Matplotlib, Sklearn
• Great for data science portfolios and academic use
🔗 Explore Full Project:
Life Expectancy Prediction – View Now
📢 Find more real-world data science projects:
🔗 https://t.me/Projectwithsourcecodes
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Best Energy consumption prediction Web Application Using Prophet and MERN Stack
Energy consumption prediction energy usage is getting more important these days, especially with how much we rely on data and need to save
⚡ Energy Consumption Prediction – Data Science Project
A smart analytics solution that forecasts future energy consumption using historical usage patterns. Ideal for energy management systems, smart grids, and sustainability-focused platforms.
📈 Project Highlights
• Time series forecasting of energy usage
• Data preprocessing & feature engineering
• Models: Linear Regression, Random Forest, etc.
• Built using Python, Pandas, Matplotlib, Scikit-learn
• Valuable for energy analytics and smart infrastructure
🔗 Explore Full Project:
Energy Consumption Prediction – View Now
📢 Discover more real-world machine learning projects:
🔗 https://t.me/Projectwithsourcecodes
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A smart analytics solution that forecasts future energy consumption using historical usage patterns. Ideal for energy management systems, smart grids, and sustainability-focused platforms.
📈 Project Highlights
• Time series forecasting of energy usage
• Data preprocessing & feature engineering
• Models: Linear Regression, Random Forest, etc.
• Built using Python, Pandas, Matplotlib, Scikit-learn
• Valuable for energy analytics and smart infrastructure
🔗 Explore Full Project:
Energy Consumption Prediction – View Now
📢 Discover more real-world machine learning projects:
🔗 https://t.me/Projectwithsourcecodes
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Smart Forecasting of Solar Energy Radiation Using Machine Learning and Deep Learning
This project, called "Solar Energy Radiation Prediction", is all about using real-time weather data to predict how much solar radiation we’ll get.
☀️ Solar Energy Radiation Prediction – Data Science Project
A renewable energy forecasting solution that predicts solar radiation levels using machine learning. Perfect for researchers, developers, and smart energy planners aiming to optimize solar power utilization.
🔍 Project Highlights
• Predicts solar radiation based on weather metrics
• Involves regression models & time series analysis
• Includes data visualization & performance metrics
• Built using Python, Pandas, Matplotlib, Sklearn
• Supports smart energy system development
🔗 Explore Full Project:
🔗 Solar Radiation Prediction – View Now
📢 Discover more AI + Sustainability projects:
🔗 https://t.me/Projectwithsourcecodes
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A renewable energy forecasting solution that predicts solar radiation levels using machine learning. Perfect for researchers, developers, and smart energy planners aiming to optimize solar power utilization.
🔍 Project Highlights
• Predicts solar radiation based on weather metrics
• Involves regression models & time series analysis
• Includes data visualization & performance metrics
• Built using Python, Pandas, Matplotlib, Sklearn
• Supports smart energy system development
🔗 Explore Full Project:
🔗 Solar Radiation Prediction – View Now
📢 Discover more AI + Sustainability projects:
🔗 https://t.me/Projectwithsourcecodes
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Water Quality Prediction System – A Smart Web-Based ML Application
I made this Water Quality Prediction System, which is basically a website made with Python and Flask that uses machine learning to tell if water
💧 Water Quality Prediction – Data Science Project
A machine learning–based solution to assess and predict the safety of water based on physical and chemical parameters. An essential project for environmental monitoring and public health applications.
🔬 Project Highlights
• Predicts water potability using supervised ML models
• Involves data cleaning, visualization & feature engineering
• Algorithms: Logistic Regression, Random Forest, SVM, etc.
• Built with Python, Pandas, Scikit-learn, Matplotlib
• Ideal for environmental science and public safety solutions
🔗 Explore Full Project:
Water Quality Prediction – View Now
📢 Explore more impactful data science projects:
🔗 https://t.me/Projectwithsourcecodes
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A machine learning–based solution to assess and predict the safety of water based on physical and chemical parameters. An essential project for environmental monitoring and public health applications.
🔬 Project Highlights
• Predicts water potability using supervised ML models
• Involves data cleaning, visualization & feature engineering
• Algorithms: Logistic Regression, Random Forest, SVM, etc.
• Built with Python, Pandas, Scikit-learn, Matplotlib
• Ideal for environmental science and public safety solutions
🔗 Explore Full Project:
Water Quality Prediction – View Now
📢 Explore more impactful data science projects:
🔗 https://t.me/Projectwithsourcecodes
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Best Insurance Claim Prediction Web App Using Machine Learning
OverviewThe Insurance Claim Prediction App is a web tool made with Streamlit that uses machine learning to guess how much someone’s
📊 Insurance Claim Prediction – Data Science Project
Build a smart system that predicts whether a customer is likely to claim insurance using historical data and machine learning models. Perfect for those exploring data science in the insurance domain.
🚀 Key Highlights:
✅ Logistic Regression, Random Forest, and XGBoost models
✅ Data preprocessing, encoding & feature selection
✅ Imbalanced data handling techniques
✅ Performance evaluation using accuracy, precision, recall, F1-score
✅ Clean Python code with visualization
🔗 Project Link:
Insurance Claim Prediction
📦 For more projects:
🔗 https://t.me/Projectwithsourcecodes
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Build a smart system that predicts whether a customer is likely to claim insurance using historical data and machine learning models. Perfect for those exploring data science in the insurance domain.
🚀 Key Highlights:
✅ Logistic Regression, Random Forest, and XGBoost models
✅ Data preprocessing, encoding & feature selection
✅ Imbalanced data handling techniques
✅ Performance evaluation using accuracy, precision, recall, F1-score
✅ Clean Python code with visualization
🔗 Project Link:
Insurance Claim Prediction
📦 For more projects:
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