teleren/devto huggingface dataset:
Get Personalized tasks extracted, and sent to you, from your meeting room!
Tags: devchallenge, twiliochallenge, ai, twilio
Published: 2024-06-23 18:29:37

*This is a submission for the [Twilio Challenge ](https://dev.to/challenges/twilio)*

## What I Built
Get Personalized tasks extracted, and sent to you, from your meeting room! Using meeting transcripts

## Demo
https://github.com/santosh8309/twilio_challenge.git

![App homepage where you can paste the meet transcript in provided text box](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/0n2wotfkrrdw8u6iwfqm.png)

![once you click the Get Detailed Task button, you'll get a mail/Whatsapp msg](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/4hme6me7agwt323e8fj9.png)


![Whatsapp message regarding your summary/tasks](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/jcxgjburp8rqzz0vf1ns.png)

## Twilio and AI
Daily scrum calls often involve lengthy discussions (over 30 minutes) about task allocation. Assigning priorities after each meeting can be time-consuming, especially with tight deadlines. This use case tackles this inefficiency. By leveraging Gemini and meeting transcripts, it automatically generates detailed tasks and sends them to team members via email or SMS (using Twilio). Functioning as a productivity tool, this approach can save Team Leads and Business Analysts at least 30 minutes per meeting. I(@santhosh_0484000) built the use case and posted it to the code exchange as well

## Additional Prize Categories

Twilio Times Two, Impactful Innovators, Entertaining Endeavors
This is a submission for the Twilio Challenge
Tags: devchallenge, twiliochallenge, ai, twilio
Published: 2024-06-23 18:28:56


What I Built
I developed an automated reminder system that leverages Twilio's SMS and Voice APIs to send appointment reminders via text messages and voice calls. This system includes basic AI functionality to handle user interactions, such as confirming or rescheduling appointments through SMS and IVR (Interactive Voice Response) calls.

Demo
You can access the app here. Below are some screenshots of the application:




Twilio and AI
I utilized Twilio’s powerful SMS and Voice APIs to build the reminder system:

SMS Reminders: The system uses Twilio’s SMS API to schedule and send automated text message reminders for upcoming appointments.
Voice Call Reminders: Using Twilio’s Voice API, the system schedules and makes automated voice calls to remind users of their appointments. I used TwiML (Twilio Markup Language) to create the call flow, which allows users to confirm or reschedule their appointments during the call.
AI Integration: I integrated the spaCy NLP library to add basic AI capabilities. This allows the system to understand and process user responses such as "yes," "no," "reschedule," and "cancel." The AI component helps in providing a more interactive and user-friendly experience.
Here is a code snippet showcasing the integration:

python
Copy code
from flask import Flask, request
import spacy
import json
from twilio.rest import Client
import requests

app = Flask(__name__)

# Load spaCy model
nlp = spacy.load("en_core_web_sm")

# Load config and user data
with open('config.json', 'r') as f:
    config = json.load(f)

# Twilio configuration
twilio_config = {
    "account_sid": config["account_sid"],
    "auth_token": config["auth_token"],
    "twilio_number": config["twilio_number"]
}

client = Client(twilio_config['account_sid'], twilio_config['auth_token'])

def translate_text(text, target_language):
    api_url = "https://api.cognitive.microsofttranslator.com/translate?api-version=3.0&to=" + target_language
    headers = {
        'Ocp-Apim-Subscription-Key': '<your_subscription_key>',
        'Content-Type': 'application/json'
    }
    body = [{'text': text}]
    response = requests.post(api_url, headers=headers, json=body)
    return response.json()[0]['translations'][0]['text']

def personalize_message(user, message_template):
    return message_template.format(name=user['name'], time=user['appointment_time'])

@app.route('/handle_voice_response', methods=['POST'])
def handle_voice_response():
    # Handle user response from voice call
    pass

if __name__ == '__main__':
    app.run(debug=True)
Additional Prize Categories
This submission qualifies for the following additional prize categories:

Twilio Times Two: This project makes use of both Twilio’s SMS and Voice APIs, providing a robust and flexible reminder system.
Impactful Innovators: The system is designed to reduce the number of missed appointments by providing timely and interactive reminders, potentially benefiting healthcare providers, businesses, and their clients.
Thank you for considering my submission!
Machine Learning and ML Algorithms
Tags: devchallenge, cschallenge, computerscience, beginners
Published: 2024-06-23 18:26:13

*This is a submission for [DEV Computer Science Challenge v24.06.12: One Byte Explainer](https://dev.to/challenges/cs).*

## Explainer
Machine Learning (ML) is a subset of AI that enables systems to learn and improve from experience without explicit programming. ML algorithms use data to identify patterns, make decisions, and predict outcomes. Key types include supervised learning, unsupervised learning, and reinforcement learning. Applications range from recommendation systems to medical diagnosis.
<!-- Explain a computer science concept in 256 characters or less. -->

## Additional Context

Machine learning algorithms enable computers to learn from data and make predictions or decisions without explicit programming. In 2024, they power real-world applications like personalized recommendations on streaming services, fraud detection in banking, autonomous driving, and healthcare diagnostics, improving accuracy and efficiency. 


<!-- Please share any additional context you think the judges should take into consideration as it relates to your One Byte Explainer. -->

<!-- Team Submissions: Please pick one member to publish the submission and credit teammates by listing their DEV usernames directly in the body of the post. -->

<!-- Don't forget to add a cover image to your post (if you want). -->

<!-- Thanks for participating! -->
Unlock Your Web Development Potential: Essential Skills for Success
Tags: webdev, programming, productivity, learning
Published: 2024-06-23 18:24:09

Unlock Your Web Development Potential: Essential Skills for Success

HTML & CSS - The foundation of any website. Learn to structure and style effectively.

JavaScript - Bring your site to life with dynamic and interactive features.

Responsive Design - Ensure your site looks great on all devices.

Version Control (Git) - Track changes and collaborate seamlessly with others.

Frameworks & Libraries - Enhance productivity with tools like React, Angular, and Vue.js.

Continuous Learning - Stay updated with the latest trends and technologies.

P.S. Which of these skills have you found most challenging to master, and how did you overcome it?

get connected with me for more web related tips and tricks -https://www.linkedin.com/in/ridoy-hasan7

#WebDevelopment #Programming #Coding #TechSkills #ContinuousLearning #FrontendDevelopment #BackendDevelopment #ResponsiveDesign #JavaScript #HTML #CSS
Naples Golf Cart
Tags: golf, cart
Published: 2024-06-23 18:08:36

**Naples Golf Cart
Address: 901 Airport-Pulling Rd S, Naples, FL 34104
Phone: (239) 224-3464
Email: media@naplesgolfcart.com
Website: https://naplesgolfcart.com/
GMB Profile: https://www.google.com/maps?cid=6886198017560260772**

Naples Golf Cart, situated at 901 Airport-Pulling Rd S, Naples, FL 34104, United States, is a distinguished provider of top-quality golf carts. Our commitment to delivering excellence in the golfing experience is reflected in our extensive range of carts and impeccable service.

Conveniently located in Naples, Florida, our address at 901 Airport-Pulling Rd S serves as a central hub for golf enthusiasts seeking reliable and innovative golf cart solutions. At Naples Golf Cart, we understand the importance of having the right equipment to enhance your golfing experience, and our diverse selection of carts caters to varying preferences and needs.

Our dedication to customer satisfaction is unwavering. Naples Golf Cart goes beyond being a mere supplier; we are your golfing partner, committed to providing expert guidance and support. Whether you're a seasoned player looking for advanced features or a beginner in need of a reliable ride, our team is here to assist you in making informed decisions.

Our commitment extends beyond the point of purchase. We offer reliable maintenance services to keep your golf cart in optimal condition, ensuring longevity and performance. Naples Golf Cart is not just a supplier; we are a comprehensive solution for all your golf cart needs.

Visit us at 901 Airport-Pulling Rd S, Naples, FL 34104, and immerse yourself in the world of Naples Golf Cart. Elevate your golfing experience with quality, reliability, and unmatched service. Naples Golf Cart – Where Excellence Meets the Greens.

**Store Hours: 
**Monday -Friday: 9:00 am - 5:00 pm
Saturday: 10:00 am - 4:00 pm

Keywords: Golf Carts Naples FL, Naples Golf Cart
To build Twilio AI Assistants
Tags: twiliochallenge, ai, twilio
Published: 2024-06-23 17:43:42


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/p4ccbos55viiape3f3ee.png)

introduced Twilio AI Assistants, a platform to build customer-aware autonomous agents. These Assistants can handle complex conversations, answer questions, and perform tasks without rigid decision trees or intent-based training¹.
   - They leverage Large Language Models (LLMs) and automatically handle conversation history using Customer Memory. You can define Tools to make API requests and access Knowledge sources for domain expertise.
   - If an Assistant can't handle a question, it can seamlessly hand over the conversation to a human agent in the Twilio Flex contact center.

2. SMS Chatbots with Twilio and OpenAI:
   - Create an AI-powered SMS chatbot using Twilio and OpenAI. This chatbot can handle customer inquiries, book appointments, and provide information.
   - Here's a step-by-step guide on how to build this experience using Twilio and OpenAI².

3. Google Cloud Integration:
   - Twilio and Google Cloud have expanded their partnership to improve customer experiences with AI.
   - You can deploy sophisticated AI-powered virtual agents using Google Cloud Contact Center AI integrated with Twilio Flex.
The new and shiny
Tags: gamedev, typescript, miniscript
Published: 2024-06-23 17:39:08

Every once in a while I come across something new (to me) and interesting, and it makes me wonder... could I build a game engine on this? (spoiler alert: the answer is always yes). Recently I came across MiniScript, an embeddable scripting language that has apparently been around for years, but somehow escaped my attention until now. There are at least 3 implementations of the MiniScript interpreter, in C++, C# and TypeScript, which allows a lot of flexibility in what tools and frameworks to embed with. For my experiment, I've chosen TypeScript, as it is a language I use often in my day to day work, and allows for fast prototyping with excellent tooling.

## So what do I call it?
Oh, naming things - certainly one of the hardest parts of the entire project. I will base a lot of this project on concepts I used to build the A2D engine (over 12 years ago now!), but calling it A2D2 just sounds like a drone I'm not looking for. I've asked a chatbot to help me come up with a name and the best it could do was "MiniJamLab", which I guess isn't the worst. Suggestions welcome, though.

## Project Goals
First I want to say I'm not looking to build the next big thing, competing with the likes of Godot (I love Godot). 

So, goals:
#### Avoid callbacks
12 years ago I built A2D around event listeners - which meant, as was customary for the time in JavaScript, *callback hell*. This time around, I want to avoid callbacks as much as possible, and instead keep things synchronous where possible, and use async/await where not.

#### Separate behavior scripts (using MiniScript!)
There should be no need for boilerplate code in the bahavior scripts. No creating drawing contexts, manipulating pixels, etc. Let the Engine handle the stuff, and write the code that actually makes things happen.

#### Testable code
This one gets me every time. I get excited and have half of the thing built and running a game of sorts before I realize I haven't added *any* unit tests! This time will be different. TDD is the name of the game, and it forces me to think about architecture differently, producing more testable code.

#### Leverage existing tools and formats
Why build a map editor if a perfectly good one exists already? Why invent a configuration file format if JSON and YAML are perfectly fine for the job? Let's not create headaches for solved problems (I know, the entire "Game Engine" problem has been solved, but let me have a little fun with this, ok?)

## Lessons Learned
And finally, I'm re-reading a lot of my own old code, particularly in the old A2D engine code, to see how I solved the common problems at the time, and what I can learn from my mistakes.

More updates to come...
🚀 Exploring Predictive Analysis of Breast Tumor Diagnosis with Streamlit and SVM! 🚀
Tags: machinelearning, datascience, healthtech, python
Published: 2024-06-23 17:27:31

Hey Devs! 👋 I'm excited to share my latest project where I've combined the power of Python, Streamlit, and Support Vector Machines (SVM) to build an interactive app for predicting breast tumor diagnoses. Here’s a glimpse into what I’ve created:

🔍 Project Overview:
Breast cancer is a significant health concern, and early detection is crucial. My project utilizes fine-needle aspiration test data to classify tumors as malignant or benign. This application aims to support healthcare professionals in making informed decisions.

📊 Features and Highlights:

Data Upload and Exploration: Users can upload CSV or Excel files to explore data distributions and summary statistics instantly.

Exploratory Data Analysis (EDA): Visualize data with histograms, density plots, and correlation matrices to uncover insights before model training.

Data Preprocessing: Automate preprocessing steps like encoding categorical data and handling missing values to prepare data for machine learning.

Model Training with SVM: Build and optimize SVM models using Grid Search to achieve the best performance in classifying tumors.

Evaluation and Visualization: Assess model accuracy with classification reports, confusion matrices, and ROC curves. Visualize decision boundaries to understand how SVM classifies data points.

🔧 Tech Stack:

Python: For data processing, modeling, and visualization.
Streamlit: Interactive web app development.
Scikit-learn: Machine learning models and pipelines.
Matplotlib and Seaborn: Data visualization.
📈 Why It Matters:
This project showcases how machine learning can aid in healthcare diagnostics, emphasizing the importance of data-driven decisions in medical practices. It's a testament to the power of AI in making a real impact on people's lives.

👩‍💻 Join Me!:
Explore the app, dive into the code, and let's discuss how we can leverage technology for healthcare innovation. Your feedback and contributions are invaluable!

🔗 [https://analysis-of-breast-tumor-diagnosis-bxvsw5lwbt4hbgnhrfxeae.streamlit.app/]
Introduction to PHP Development
Tags: php, webdev, backend, programming
Published: 2024-06-23 17:15:36

Hey DEV Community! 👋 Are you ready to dive into PHP development? In this post, we'll explore the fundamentals of PHP, its syntax, variables, control structures, functions, and more. Whether you're a beginner or looking to refresh your PHP skills, this guide will help you get started on building dynamic web applications with PHP!
Mastering Visual Hierarchy in UI Design: Key Principles and Techniques
Tags: ui, uidesign, ux, uxdesign
Published: 2024-06-23 17:08:37

Day 5: Learning UI/UX Design

---

👋 Hello, Dev Community!

I'm Prince Chouhan, a B.Tech CSE student with a passion for UI/UX design. Today, I'm excited to share my learnings on visual hierarchy, a fundamental principle in UI design that enhances usability and guides user attention.

---

🗓️ Day 5 Topic: Visual Hierarchy in UI Design



---



📚 Today's Learning Highlights:



1. Concept Overview:

Visual hierarchy is the arrangement and presentation of elements in a way that signifies their importance. It helps guide users' attention and improves usability by making it easier for users to find and understand information.



2. Key Factors Contributing to Visual Hierarchy:



- Size:

 - Larger Elements: Draw attention first and indicate higher importance.

 - Smaller Elements: Indicate secondary information.

 - Application: Headlines are larger than body text; primary buttons are larger than secondary ones.



- Color:

 - Contrast: High contrast highlights important items.

 - Bold Colors: Attract attention.

 - Subdued Colors: Recede into the background, emphasizing primary elements.

 - Application: Use accent colors for calls-to-action (CTAs), warnings, or key information.



- Placement:

 - Top and Center: Elements at the top or center are perceived as more important.

 - Left to Right: In cultures that read left to right, elements on the left side are seen first.

 - Application: Place navigation menus at the top, important buttons in prominent positions.



- Proximity (Law of Proximity):

 - Grouping: Elements close to each other are perceived as related.

 - Spacing: Proper spacing delineates different sections and groups related items.

 - Application: Group related form fields together, ensure related content is clustered.



- White Space (Negative Space):

 - Definition: Empty space around elements in a design.

 - Emphasis: More white space around an element makes it stand out.

 - Clarity :  Reduces clutter and enhances readability.

 - Application: Use ample margins and padding around key elements, avoid overcrowding.



- Repetition:

 - Consistency: Repeating styles indicate that elements are related.

 - Pattern Recognition: Helps users recognize and predict the behavior of elements.

 - Application: Consistent use of colors, fonts, and design elements for related items (e.g., all buttons for primary actions look the same).



---



🚀 Future Learning Goals:

Next, I'll explore the principles of consistency and simplicity in UI design.



---



📢 Community Engagement:

- How do you apply visual hierarchy in your designs?

- What challenges have you faced in establishing visual hierarchy?



---



💬 Quote of the Day:

_"Design is intelligence made visible." – Alina Wheeler_



![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/5v34f1i8xat7xl0ybu9t.jpg)




Thank you for reading! Stay tuned for more updates as I continue my journey in UI/UX design.



#UIUXDesign #LearningJourney #DesignThinking #PrinceChouhan
Arbitrary code execution with pickle
Tags: python
Published: 2024-06-23 17:03:50

Here's why pickle is unsafe if you don't know the origin of the pickled data:

```py
import pickle
import os

# Create a malicious class
class Malicious:
    def __reduce__(self):
        # os.system will execute the command
        return (os.system, ('echo "This is malicious code!"',))

# Serialize the malicious object
malicious_data = pickle.dumps(Malicious())

# Deserialize the malicious object (this will execute the command)
pickle.loads(malicious_data)
```
Converting px in SCSS
Tags: scss
Published: 2024-06-23 12:50:50

---
title: Converting px in SCSS
published: true
date: 2024-06-23 12:47:17 UTC
tags: scss
canonical_url: https://blog.nicm42.co.uk/converting-px-in-scss
---

A lot of the time in designs they give the font-size, line-height and letter-spacing in px. Which isn't helpful as they mean having to get the calculator out to convert them to more useful units. But a combination of Sass functions and mixins can do the calculations for us.

## Converting font-size

Here we want to use rems. This function is from https://dev.to/rekomat/comment/1ib3b:

``` scss 
// From https://dev.to/rekomat/comment/1ib3b
@function pxToRem($pxValue) {
  @return math.div($pxValue, 16px) * 1rem;
}
```

This is literally doing the same calculation as we do on the calculator: font-size divided by 16px and then written in rems. If your base font size has been set to 10px (for example) then you'd need to change the 16px in the function to be 10px.

You can use this function to convert anything from px to rem, not just font-sizes.

## Converting line-height

Here we do exactly the same as on the calculator to get a ratio:

``` scss
@function convertLineHeight($fontSize, $lineHeight) {
  @return math.div($lineHeight, $fontSize);
}
```

## Converting letter-spacing

And again it's the same calculator calculation and expressed in ems:

``` scss
@function convertLetterSpacing($fontSize, $letterSpacing) {
  @return math.div($letterSpacing, $fontSize) * 1em;
}
```

## Using the functions

To use those three functions we'd do this:

``` scss
p {
  font-size: pxToRem(24px);
  line-height: convertLineHeight(24px, 30px);
  letter-spacing: convertLetterSpacing(24px, -0.48px);
}
```

Which is fine, but we have to give all three of them the font-size. We can use a mixin to make this more efficient:

``` scss
@mixin textUtils($fontSize, $lineHeight: 1, $letterSpacing: 0) {
  font-size: pxToRem($fontSize);
  @if $lineHeight != 1 {
    line-height: convertLineHeight($fontSize, $lineHeight);
  }
  @if $letterSpacing != 0 {
    letter-spacing: convertLetterSpacing($fontSize, $letterSpacing);
  }
}

p {
  @include textUtils(24px, 30px, -0.48px);
  //@include textUtils(24px, 30px);
  //@include textUtils(24px);
}
```

This mixin is set up so it needs the font-size, but it doesn't matter if you don't give it the letter-spacing, because that could be 0. And just in case, it also works if you don't give it the line-height.