Designing a Health Tips Real-Time Dashboard Using Power BI

-

 


{Click on image for broad clear view}

🧠 Project Overview

This Power BI dashboard was created to visually communicate various health tips and preventive measures. The goal was to present health-related information in a clean, interactive format — perfect for awareness campaigns or clinics.

It’s a creative project that blends data visualization with public health education.

🎯 Purpose

To build a dashboard that:

  • Helps users quickly understand daily health practices

  • Encourages a preventive lifestyle

  • Presents data in a visually appealing way

🛠 Tools Used

  • Power BI Desktop

  • Excel Sheets with health info as data source

  • Custom visuals, icons, filters

  • Data cards, pie charts, bar graphs

📊 Dashboard Highlights

  • 🧴 Hygiene Tips: Importance of hand washing, mask-wearing

  • 🥦 Nutrition Basics: Healthy food groups & balanced meals

  • 🧘‍♀️ Mental Wellness: Stress reduction, sleep habits

  • 🧪 Preventive Health: Regular checkups and fitness tips

The visuals are icon-based and colorful — aimed at being educational but not overwhelming.

📷 Add Screenshot (Optional)

(Insert a screenshot of your dashboard if you have one hosted or from your GitHub README)

🔗 GitHub Link

👉 View Power BI Health Tips Dashboard on GitHub

🧠 Final Thoughts

This project helped me practice not just Power BI techniques, but also design thinking — how to present useful information in a way that’s engaging and easy to interpret.

I plan to expand this into a health tracker dashboard in the future with real-time input and recommendations!

Hi, I’m Heena Shaikh — a Data enthusiast with a passion for analytics, storytelling, and machine learning. I enjoy exploring data to uncover patterns, solve problems, and make meaningful decisions. With skills in Python, MySQL, R, Data Visualization , Machine Learning and automation tools, I'm constantly learning and building towards a career in data science.

Comments

Post a Comment

How i built ShopeE-Mate

How I Built ShopeE-Mate (An E-commerce Product Recommendation /Comparison Using Python and Machine Learning)

-
Image
🛍️ Project Overview During my final year, I created a multi-platform e-commerce product recommendation system called ShopeE-Mate . This tool helps users find the best deals across Amazon, Flipkart, and JioMart — all in one place. 💡 The Problem Users waste a lot of time switching between apps and websites just to find the best price for the same product. I wanted to solve that using automation and ML/AI. 🛠️ Tools and Technologies Used 🔎 Web Scraping: RPA UiPath, Selenium 📊 Data Processing: Pandas, NumPy , Google colab 📦 Machine Learning: Scikit-learn, Tokenization(NLP) 🧠 Recommendation Models: Content-based, Collaborative, Hybrid  🌐 Web Framework: Flask  🛢 Database system : MySql XAMPP server ⚙️ How It Works Step 1: Product data is scraped in real-time using automation tools Step 2: Data is cleaned and structured using Pandas Step 3: ML models rank the products based on user preference, rating, and discount Step 4: Flask displays...
Read more

Sales Forecasting for Big Mart Using XGBoost Regression — A Machine Learning Approach

-
Image
  {Click on image for broad clear view} 🔍 Project Overview This project focuses on predicting sales for Big Mart stores across India using historical data. I built a machine learning model that analyzes factors like product price, store type, location, and promotions to forecast future sales with greater accuracy. 🎯 Business Problem Big Mart needed a reliable way to forecast sales to: Avoid overstocking and stockouts Optimize inventory and staffing Plan promotions more effectively Using machine learning helps make smarter, data-driven decisions. 🛠 Tools & Techniques Used Python + Google Colab Libraries: Pandas, Seaborn, Matplotlib, XGBoost, Scikit-learn Model Used: XGBoost Regressor Data Source: Kaggle – Big Mart Sales Dataset ⚙️ Key Steps I Followed Data cleaning and handling missing values Feature encoding (Label Encoding for categories) Exploratory Data Analysis using Seaborn Model training with XGBoost Evaluation usi...
Read more

Welcome to Decode With Heena

-
Image
I'm Heena Shaikh , a Data Science graduate with a passion for turning raw data into meaningful insights. Through this blog, I share my real-world projects, virtual internship experiences, and tutorials in data analytics, machine learning, and business reporting. Whether you're a recruiter, a fellow learner, or someone just curious about data — I'm glad you're here! 👉 Feel free to explore my About Me and Get my Resume , check out my Projects , check out my Blog Posts , or Contact Me anytime.
Read more