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Projects with source code | Android | Java | LLM | Python | Ai | JSP | Php |

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🧠 Personality Prediction System – Python Project

Uncover personality insights from text data using machine learning. Ideal for those exploring NLP, psychometrics, and AI-driven assessments.

Key Features
• Predicts personality traits based on textual input
• Utilizes machine learning algorithms for analysis
• Built with Python and NLP techniques
• Clean, easy-to-understand code suitable for portfolios

🔗 Explore the full project here:
Personality Prediction System – View Project

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🚔 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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• 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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💸 Price Tracking Web Scraper – Python Project

Keep tabs on prices effortlessly! This Price Tracking Web Scraper—built with Python and popular scraping libraries—automates monitoring price changes from e-commerce sites and helps users track fluctuations over time.

Key Features
• Scrapes product prices from e-commerce websites using Python
• Compares and logs price history over time
• Sends alerts/notifications when price drops are detected
• Built with tools like BeautifulSoup, Requests, and schedulers for automation

🔗 Explore the full project here:
Price Tracking Web Scraper – View Project

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🌐 Language Detection System – Python Project

Identify the language of any text instantly using Python. A great project for exploring NLP and building multilingual-ready applications.

Key Features
• Detects language from text input with high accuracy
• Supports 50+ global languages
• Uses Python NLP libraries for processing
• Easy-to-understand, modular code suitable for portfolios

🔗 Explore the full project here:
Language Detection System – View Project

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