Recent Posts

• Mental Health Prediction Web App: AI & Machine Learning for Early Detection
  

  Our Mental Health Prediction Web App leverages multiple machine learning algorithms—including Logistic Regression, Random Forest, SVM, KNN, Naive Bayes, Decision Tree, and XGBoost—for early and accurate detection of mental health conditions. Built with Django, HTML/CSS/Bootstrap, and powered by Python’s data analysis libraries, this AI-driven solution transforms behavioural data into actionable mental health insights.

• Indian Traffic Signs Recognition with Deep Learning Models
  

  AI-based Indian Traffic Signs Recognition System with Django & deep learning models for accurate, real-time traffic sign detection and road safety.

• Driver Drowsiness Detection | AI & Vision Real-Time Safety
  

  Detect driver fatigue in real time with this AI-powered drowsiness detection system. Using computer vision and machine learning, it monitors eye closure, yawning, and head movement to help prevent accidents and improve road safety.

• Inside Question-Answering Systems: A Breakdown of Core NLP Architectures
  

  Learn how to create scalable information retrieval systems through design techniques.

• Top Data Science Trends to Watch in 2025
  

  Discover the top data science trends shaping 2025 — from GenAI to edge analytics, here’s what every data enthusiast should know.