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🛠️ Text Summarizer using Python & NLP
✨ Features:
✅ Uses Natural Language Processing
✅ Extracts key points from large text
✅ Perfect for document analysis, students & researchers!
✅ Can be turned into a web app with Flask!

📌 Get Source Code + Step-by-Step Tutorial:
👉 Updategadh.com


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📚 Book Recommender System – Data Science Project 🧠
Build a smart recommendation system that suggests books using real-world datasets and data science techniques. Ideal for Python learners and data science beginners!

💡 Available Features
🔐 User Authentication (Signup, Login, Secure Sessions)
📚 Book Ratings & Reviews
🧠 Personalized Book Recommendations
📈 Reading History Tracking
🗂️ User Profile Management
📬 Email Integration Ready
🛡️ Password Hashing with Security Standards
🧩 Modular Code Structure
🖥️ Admin-Ready for Expansion
⚙️ Built-in Flask & SQLAlchemy Integration

🔗 Download & Source Code:
Book Recommender System

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🏠📊 House Rent Prediction System – Python Project 🐍💡
Predict the rent of a house based on features like location, size, number of rooms, and more using Machine Learning! A practical project for real-world use cases.

🔍 Key Features:
📈 Predict rent prices based on user input
🧠 Built using Python, Pandas, Scikit-learn
💻 Linear Regression for price estimation
📊 Real estate data analysis
🆓 Beginner-friendly & fully open source

🔗 Download & Source Code:
👉 House Rent Prediction Project

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🚀 Learn how real estate platforms use data to drive pricing decisions!

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🛠️ 📧 Email Sender App using Python

✨ Features:
✅ Send emails with one click
✅ Customize subject & body
✅ Attach files (optional)
✅ Built using smtplib, tkinter, email

Perfect for automating messages or learning how backend systems work! ⚙️

📌 Get full source code + tutorial:
👉 Updategadh.com


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🎯 Project Name: Stock Price Prediction System

What it does:
🔹 Takes stock data (past prices, volume, trends)
🔹 Uses ML models to predict future price
🔹 Visualizes data in cool graphs 📊
🔹 Helps users understand market movement

Built Using:
✅ Python
✅ Pandas, NumPy
✅ Matplotlib + Seaborn
✅ Scikit-learn
✅ Optionally Flask for web version

Why try this?
✅ Perfect for BCA / MCA / BTech students
✅ Great final year or internship-level project
✅ Can be extended into a full product!

📥 Full source code + PPT + Report available now 👉 Updategadh.com


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🌍 Build This Smart AI Travel Chatbot in Python! 🤖🧳

Wanna create a chatbot that suggests food, malls, and travel spots for any city?

✅ Uses Google Gemini API
✅ Shows city info from Wikipedia
✅ Gives Google Maps links to places
✅ Built with Python + Streamlit
✅ Clean UI + Beginner-friendly!

📥 Full source code, demo & files 👉
Updategadh.com



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🍔📦 Food Delivery System – Python Project 🐍💻 (Paid Project)
A complete desktop-based application to manage online food orders, restaurant menus, and delivery tracking. Ideal for academic or startup use!

🚀 Key Features:
✅ Customer, Admin & Delivery Modules
🛒 Order Placement & Management
📂 Menu & Item Management
🖥️ Built with Python (Tkinter GUI) + MYSQL
🔐 Secure login system
💰 Premium source code with documentation

🔗 Get Full Project (Paid):
👉 Food Delivery System – Python

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🍔📦 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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🏍️ Bike Showroom Management System – Python Project

A streamlined application designed to optimize the core operations of a bike dealership. This project focuses on efficiency, clarity, and automation — ideal for academic submission or functional deployment.

🔧 Core Features
• Bike inventory management
• Customer database with transaction records
• Invoice generation and sales tracking
• User-friendly interface with role-based access
• Developed in Python using Tkinter and SQLite

🔗 Project Access:
Click to View Full Project

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📊 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

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