DEV Community: SNEHA KUMARI

Showcasing My Recent Project for the MindsDB Challenge

SNEHA KUMARI — Mon, 15 Jul 2024 08:26:49 +0000

If you like the project please consider upvoting here

🌟 Introducing HealthHub: Your Ultimate Wellness Companion 🏥💪

SNEHA KUMARI — Fri, 12 Jul 2024 02:54:55 +0000

Hey Dev.to community! I'm excited to share my latest project, HealthHub, a comprehensive wellness platform designed to empower you with AI-driven health tools. Built with the power of MindsDB, HealthHub offers an array of features to keep you at the peak of your health game.

👉 Check out the Project on Quira! and Vote

🎉 Features You'll Love

🩺 Diagnosis Predictor

Let AI handle your health queries! Simply input your age, gender, and symptoms, and our Diagnosis Predictor powered by MindsDB will provide you with accurate health predictions. It's like having a personal doctor available 24/7!

Navigate to the Diagnosis Predictor section.
Fill in your age, gender, and symptoms.
Click "Predict Diagnosis" and get your results instantly!

Watch the demo

🤖 Health Chatbot

Meet your new health advisor! Our Health Chatbot uses advanced AI to provide instant, reliable health information. Got a question? Just ask!

Navigate to the Health Chatbot section.
Type your health-related question.
Click "Send" and get instant answers!

Watch the demo

🗓️ Weekly Health Planner

Planning your health activities has never been easier! Based on your interactions with our chatbot, the Weekly Health Planner will create a personalized health plan just for you.

Go to the Weekly Health Planner section.
Select your start and end dates.
Click "Generate Plan" and follow your custom health journey!

Watch the demo

✅ Health Checklist

Stay on top of your health goals with our Health Checklist. Customize your checklist, track your progress, and achieve your daily health targets effortlessly!

Navigate to the Health Checklist section.
Add new items using the input box and "Add" button.
Check off completed items to keep track of your progress.

Watch the demo

📺 YouTube Demonstration

Want to see HealthHub in action? Watch our demo video on YouTube!

💬 Show Your Support

If you find this project exciting and useful, please support it by upvoting on Quira and starring the GitHub repository. Your support means the world to me!

👉 Upvote on Quira!

Thank you for your support! Let's make health management easier and smarter together!

Building a Healthcare Assistant with MindsDB

SNEHA KUMARI — Sat, 06 Jul 2024 07:51:45 +0000

In today's fast-paced world, timely and accurate healthcare diagnosis can be a game-changer. To address this need, we have developed a Healthcare Diagnosis Assistant that leverages machine learning to predict health conditions based on patient symptoms. This assistant uses MindsDB for machine learning and an SQLite database for storing patient data. In this post, we'll walk you through the development of this tool.

Why Use MindsDB?

MindsDB is a powerful open-source AI tool that simplifies the process of training and deploying machine learning models. It allows developers to integrate machine learning into their applications with minimal effort. By using MindsDB, we can quickly build and deploy a model that predicts diagnoses based on patient data.

Project Overview

The Healthcare Diagnosis Assistant is designed to predict health conditions based on the age, gender, and symptoms of a patient. Here's a breakdown of the features:

Predictive Diagnosis: Input patient details and get a predictive diagnosis.
Explanation: Provides an explanation for the predicted diagnosis.
Data Storage: Uses SQLite for storing and managing patient data.
Command-Line Interface: Simple CLI for user interaction.

Requirements

Before we start, ensure you have the following:

Python 3.7 or higher
MindsDB SDK
SQLite3

Project Codebase

The complete codebase for this project can be found on GitHub: Healthcare Diagnosis Assistant.

MindsDB Integration

Connecting to MindsDB

The assistant connects to a local MindsDB server to create and train the prediction model.

Creating the Model

The model is created using data from the patients table in the SQLite database. The model predicts the diagnosis based on age, gender, symptom1, symptom2, and symptom3.

Training the Model

The model is trained on the sample data provided in the patients table.

Conclusion

Building a Healthcare Diagnosis Assistant with MindsDB and SQLite is a great way to leverage machine learning for healthcare applications. With this tool, you can quickly get predictive diagnoses and explanations based on patient data. MindsDB simplifies the process of integrating machine learning into your applications, making it accessible even for those new to AI.

This Project is under quest submission [Vote for me (https://quira.sh/repo/sneha-4-22-Health_assistant-824874405?utm_source=copy&utm_share_context=quests_repos) Thanks it means a lot!