POWER CONSUMPTION ANALYSIS FOR HOUSEHOLDS

📝 Overview:

This project aimed to optimize energy efficiency in households by analyzing power usage patterns and predicting high-consumption periods using machine learning models.

🔗 GitHub Repository: View Project 

Tools & Tech: Python, Pandas, Seaborn, Matplotlib, Machine Learning, HTML, CSS, JavaScript 

 🔍 Key Features:

• Cleaned and visualized real-world energy consumption datasets.
  
  

• Implemented regression models to forecast future electricity usage.
  
  

• Identified peak usage trends to suggest tailored energy-saving strategies.
  
  

• Created a simple web dashboard to display key insights using HTML, CSS, and JS.
  
  

✅ Impact:

• Helped demonstrate how data science can reduce household energy bills by up to 20%.
  
  

• Showcased practical application of machine learning for sustainability and cost savings.

"Our project was successful in creating a comprehensive power consumption report and an interactive dashboard for household users. This report highlighted peak usage times, appliance-specific consumption, and gave personalized recommendations to reduce power usage. As a result, we provided valuable insights to households that could reduce their energy bills by an estimated 15%."

🧘‍♀️ ZenFlow – Enlightened Yoga Pose Classification via Transfer Learning Mastery 

📌 Project Overview:
ZenFlow is a deep learning-based yoga pose classification system. It identifies yoga postures from images using pre-trained convolutional neural networks like MobileNet and InceptionV3 through transfer learning. The project aims to assist individuals in practicing yoga effectively by providing automated feedback on their poses.

🔗 GitHub Repository:
Click here to view the code

🎯 Problem Statement:
Many beginners struggle to perform yoga poses correctly without guidance. Traditional methods lack affordable, real-time feedback. ZenFlow bridges this gap by using AI to detect poses and support remote self-practice.

📌🛠️ Technologies & Skills Used:

• Languages & Frameworks: Python, TensorFlow, Keras
  
  

• Techniques: Convolutional Neural Networks (CNN), Transfer Learning
  
  

• Tools: Jupyter Notebook, GitHub, Matplotlib, Seaborn
  
  

• Other: Data Preprocessing, Data Augmentation, Model Evaluation
  
  

 ⚙️ Key Features:

• Pose classification using transfer learning
  
  

• Augmented image data to improve model generalization
  
  

• Evaluated using metrics like accuracy, precision, recall, and F1-score
  
  

🌱 Impact:

ZenFlow promotes digital wellness by offering a smart, accessible, and low-cost solution to improve yoga practice. It showcases how AI can be integrated into health and fitness for real-world impact.