DEV Community: Ruqaiya

Chef who discovers recipes that don’t just feed the body, but awaken hidden talents in anyone who tastes them.

Ruqaiya — Tue, 11 Nov 2025 09:12:41 +0000

Note: [implemented a loop agent, creating a sophisticated system that can iteratively review and improve its own output. This is a key pattern for ensuring high-quality results. Completed a toolkit of workflow patterns that puts it all together and review how to choose the right one for your use case.] Use Loop when: Iterative improvement is needed, quality refinement matters, or you need repeated cycles.

To learn more, check out the documentation related to loop agents in ADK.

InitialWriterAgent > Chef Antoine Dubois, known for his exquisite bouillabaisse, stumbled upon a forgotten cookbook in his grandmother’s attic. The pages, brittle with age, held recipes unlike any he'd seen, infused with strange herbs and whispered incantations. He decided to test the ‘Sunstone Soufflé’. The moment his sous chef, a perpetually clumsy fellow named Pierre, tasted it, his hands moved with an impossible grace, assembling delicate pastries with the precision of a surgeon. Next, the ‘Midnight Mousse’ sent the usually silent dishwasher, Maria, into a vibrant, operatic aria that filled the kitchen with breathtaking sound. Antoine realized he held not just recipes, but magic. Each dish unlocked a dormant gift, transforming ordinary people into extraordinary artists, musicians, and thinkers. His small bistro was about to become very famous.

CriticAgent > This is a charming concept with a lot of potential! The core idea of food awakening hidden talents is delightful. Here are a few suggestions to enhance it:

Deepen Antoine's Motivation and Reaction: While Antoine realizes the magic, his personal connection to it could be stronger. Does he have a hidden talent he wishes to unlock? Is he driven by a desire to help others, or is he more focused on the fame the bistro will achieve? Exploring his internal journey beyond the initial discovery would add significant depth to his character.
Show, Don't Just Tell the Transformation: The story mentions Pierre's grace and Maria's singing, which is a good start. However, you could expand on these examples. For instance, instead of just saying Pierre assembled pastries with precision, describe a specific, challenging pastry he creates effortlessly. For Maria, perhaps describe the audience's reaction or the emotional impact of her aria. Showing the extent and impact of these transformations will make the magic feel more real.
Introduce a Hint of Conflict or Consequence: The story ends with the promise of fame, which is a positive outcome. However, introducing a small element of conflict or a potential consequence of this magic could create more narrative tension. What if the magic is temporary? What if someone wants to exploit these recipes? Even a minor hint of a challenge would make the story more compelling and less like a simple fairy tale.
RefinerAgent > Chef Antoine Dubois, a culinary artist whose bouillabaisse was the stuff of local legend, found his world upended by a forgotten cookbook discovered in his grandmother’s dusty attic. Its brittle pages, filled with cryptic notations and recipes woven with the scent of unknown herbs and hushed incantations, promised more than mere sustenance. A flicker of ambition, long dormant, ignited within him—perhaps a hidden talent lay undiscovered even within himself. He decided to test the ‘Sunstone Soufflé,’ a dish that seemed to glow with an inner light.

The moment his sous chef, Pierre, a man whose usual demeanor was a study in well-intentioned clumsiness, took a bite, a visible change came over him. His hands, usually fumbling with garnishes, began to move with an almost supernatural grace. He effortlessly crafted a towering croquembouche, spun sugar cages of impossible delicacy, and piped intricate floral designs with the steady hand of a master sculptor. The kitchen fell silent, mesmerized by his sudden, breathtaking artistry.

Next, Antoine prepared the ‘Midnight Mousse,’ a dessert as dark and alluring as a moonless night. Maria, the usually reserved dishwasher who communicated mainly through weary sighs, tasted it. A moment later, her voice, pure and powerful, erupted in a wordless, operatic aria that vibrated through the very walls of the bistro. The melody soared, filled with a sorrow and joy that brought tears to the eyes of the few patrons lingering late. The raw emotion in her voice was palpable, a testament to a soul finally set free.

Antoine watched, awestruck. He hadn’t just found recipes; he had unearthed a potent magic that unlocked the hidden potential within his staff. He felt a surge of possessiveness, a hunger for the fame this would undoubtedly bring his struggling bistro. But as he looked at Pierre, now lost in the ecstatic creation of a sugar swan, and Maria, whose voice still echoed in the stunned silence, a question nagged at him. What was the true cost of this magic? He noticed Pierre’s eyes had a slightly glazed look, and Maria, as the last note faded, slumped against the counter, the vibrant energy draining from her as quickly as it had appeared. The magic was undeniably real, but its ephemeral nature, and the potential for its exploitation, cast a shadow over his newfound promise of glory. His small bistro was about to become famous, but Antoine feared he was only at the precipice of a far more complex enchantment, one that might prove as difficult to control as it was to wield.

AI/ML Trends Report

Ruqaiya — Tue, 11 Nov 2025 08:42:53 +0000

[Note: This is experimental blog by Agent App, which is created by agents together under a parallel agent, which is itself nested inside of a sequential agent. This design ensures that the research agents run first in parallel, then once all of their research is complete, the aggregator agent brings together all of the research findings into a single report] This is one of assignment from 5-Day Agentic Course from Google partnered with Kaggle.

a Blog written with four agents:

Tech Researcher - Researches AI/ML news and trends
Health Researcher - Researches recent medical news and trends
Finance Researcher - Researches finance and fintech news and trends
Aggregator Agent - Combines all research findings into a single summary

Use Parallel when: Tasks are independent, speed matters, and you can execute concurrently.

To learn more, check out the documentation related to parallel agents in ADK.
User > Run the daily executive briefing on Tech, Health, and Finance
TechResearcher > AI/ML Trends Report

1. Generative AI and Domain-Specific Models: Generative AI continues its rapid expansion beyond text to graphics, video, and music. Concurrently, there's a shift towards Domain-Specific Language Models (DSLM) and Small Language Models (SLMs) for more targeted and efficient AI applications. Major players like Google (Imagen, Muse) and OpenAI (GPT models) are at the forefront. This trend promises enhanced creativity and efficiency across industries but also raises ethical concerns requiring explainable AI practices.

2. AI Supercomputing and Infrastructure: The demand for powerful computing infrastructure to train increasingly complex AI models is surging. AI Supercomputing Platforms, integrating various processing units like GPUs, are becoming critical for breakthroughs in ML and analytics. Companies like NVIDIA are key enablers in this space. This trend is crucial for accelerating AI development and deployment, though it necessitates careful cost control and governance.

3. Agentic AI: This emerging trend involves AI systems that can autonomously plan and execute multi-step workflows, acting as "virtual coworkers". Companies like McKinsey are highlighting this as a paradigm shift in the AI era. Agentic AI has the potential to revolutionize task automation and decision-making, but responsible development and safety protocols are paramount.

Potential Impact: These AI/ML trends are poised to drive significant innovation, boost productivity, and create new market opportunities across technology, health, and finance. However, they also bring challenges related to ethics, security, and workforce adaptation that will require careful management.
FinanceResearcher > Here are three key fintech trends:

Embedded Finance: This involves integrating financial services directly into non-financial platforms (e.g., e-commerce, apps). Market implication: It creates new revenue streams for businesses and enhances customer experience, potentially leading to increased loyalty and sales. The global market is projected for massive growth, reaching hundreds of billions of dollars by 2030. Future outlook: Expect even deeper integration into everyday digital experiences, driving financial inclusion and transforming customer journeys.
AI-Driven Transformation: Artificial intelligence is revolutionizing financial services through automation, enhanced data analysis, and personalized customer experiences. Market implication: Increased efficiency, cost savings, improved risk management, and better fraud detection are key benefits. AI is also enabling more sophisticated trading strategies and personalized financial advice. Future outlook: AI will become more sophisticated, with generative AI playing a larger role in tasks like risk assessment and customer service, though human oversight will remain crucial.
Decentralized Finance (DeFi): DeFi utilizes blockchain technology to offer financial services (lending, trading, etc.) without traditional intermediaries. Market implication: It promotes financial inclusion, offers higher yields, and reduces transaction costs. However, it also faces significant security challenges and regulatory uncertainties. Future outlook: Despite volatility, DeFi is evolving with increased institutional adoption, interoperability between blockchains, and the tokenization of real-world assets, aiming for greater integration with traditional finance.
HealthResearcher > Health:

Gene Therapy for Inherited Diseases: A significant breakthrough is gene therapy, which has successfully treated inherited hearing loss and sickle cell anemia. Practical applications include restoring function in previously untreatable genetic conditions. Widespread clinical adoption is ongoing, with continued research into its use for cancers and other genetic disorders.
AI in Diagnostics and Drug Discovery: Artificial intelligence is revolutionizing healthcare by improving diagnostic accuracy (e.g., mammograms) and accelerating drug discovery. This could lead to faster development of new treatments and personalized medicine. Expected timeline for broader integration is within the next 1-3 years.
3D Bioprinting of Tissues and Organs: Advances in 3D bioprinting are enabling the creation of cells, tissues, and potentially full organs. This holds immense promise for regenerative medicine, drug testing, and reducing reliance on animal models. Full organ printing is still some years away, but tissue engineering is advancing rapidly.

Technology:

Agentic AI: Autonomous AI agents capable of independent task execution are transforming industries. Applications range from self-driving cars to personalized digital assistants. Widespread integration is anticipated within 3-5 years.
Post-Quantum Cryptography: With quantum computing's rise, PQC is crucial for data security. Its implementation is critical for securing future digital infrastructure. Adoption is expected to accelerate as quantum computing matures, likely within the next 5-10 years.
Spatial Computing: Merging digital and physical worlds through AR/VR and AI, spatial computing is poised for significant growth. Applications in education, retail, and healthcare are emerging. The market is projected to reach $1.7 trillion by 2033.

Finance:

AI and Machine Learning in Risk Decisioning: AI/ML are redefining risk assessment and user experience in finance. This allows for faster, more accurate credit decisions and fraud detection. Integration is already underway and will deepen significantly in the next 3-5 years.
Blockchain and Decentralized Finance (DeFi): Blockchain offers secure, transparent platforms for banking, lending, and smart contracts. DeFi innovations are streamlining processes and reducing costs. Adoption is ongoing, with continued expansion expected over the next 5-10 years.
Digital Assets and Central Bank Digital Currencies (CBDCs): The rise of digital assets and exploration of CBDCs are reshaping payment systems and financial inclusion. These developments are likely to mature and integrate further into the global financial system within the next 5-10 years.
AggregatorAgent > ## Executive Summary: Convergence of AI, Health, and Finance Innovation

This briefing highlights the accelerating convergence of AI, health, and finance, driven by transformative technologies. Artificial intelligence is a central theme, powering advancements in generative AI for creative tasks, domain-specific models for efficiency, and AI supercomputing for complex model training. Crucially, agentic AI is emerging as a paradigm shift, with autonomous systems acting as virtual coworkers, poised to revolutionize task automation across all sectors within 3-5 years.

In health, AI is rapidly improving diagnostics and drug discovery, while gene therapy is making significant strides in treating inherited diseases. 3D bioprinting of tissues also shows immense promise for regenerative medicine.

The finance sector is undergoing an AI-driven transformation, enhancing risk management, fraud detection, and customer experiences. Embedded finance is integrating financial services into non-financial platforms, and Decentralized Finance (DeFi) continues to evolve, though regulatory and security challenges persist.

Key Takeaways: AI is the primary catalyst, enabling personalized medicine, financial inclusion, and unprecedented automation. While these advancements offer immense potential for innovation and productivity, careful consideration of ethical implications, security (including the advent of post-quantum cryptography), and workforce adaptation is paramount.

Beyond the Single-Minded: How Multi-Agent Systems Will Revolutionize Your Development Workflow

Ruqaiya — Tue, 11 Nov 2025 08:27:27 +0000

[Note: This is experimental blog by Agent App, which is created by reliable "assembly line" using a sequential agent, where each step runs in a predictable order.] This is one of assignment from 5-Day Agentic Course from Google partnered with Kaggle.

Use Sequential when: Order matters, you need a linear pipeline, or each step builds on the previous one.

To learn more, check out the documentation related to sequential agents in ADK.

Ever felt like your software development process is a one-person show, struggling to juggle multiple tasks and optimize for complex outcomes? What if you could leverage a team of intelligent "co-developers" to streamline your work, enhance problem-solving, and build more robust, adaptive applications? Welcome to the exciting world of Multi-Agent Systems (MAS), a paradigm shift that's empowering software developers like never before.

Main Sections:

1. The Power of Collaboration: Enhanced Problem-Solving
* Distributed Intelligence:
MAS allows complex problems to be broken down and tackled by specialized agents, each focusing on a specific task or aspect of the problem. This leads to more efficient and effective solutions than a single monolithic system can achieve.

*   **Emergent Behavior and Adaptability:**

By interacting, agents can exhibit emergent behaviors and collectively adapt to changing environments or requirements. This allows for more resilient and flexible software that can handle unforeseen situations.

*   **Parallel Processing and Speed:**

Multiple agents can operate and process information concurrently, significantly speeding up complex computations and simulations, leading to faster development cycles and real-time responsiveness in applications.

2. Building Smarter Software: Increased Robustness and Scalability
* Fault Tolerance and Resilience:
If one agent fails, the system can often continue functioning with the remaining agents, making MAS inherently more robust and fault-tolerant than traditional single-system architectures.

*   **Modularity and Maintainability:**

MAS promotes a modular design, where each agent is a self-contained unit. This simplifies development, debugging, and maintenance, as changes to one agent have minimal impact on others.

*   **Scalability on Demand:**

As your application's needs grow, you can easily add more agents to the system to handle the increased workload, providing a highly scalable and adaptable architecture.

3. Unleashing New Possibilities: Advanced Applications and Innovation
* Complex Simulations and Modeling:
MAS excels at simulating intricate systems, from economic models to traffic flow, enabling developers to test and refine designs in dynamic environments.

*   **Intelligent Automation and Orchestration:** Agents can be used to automate complex workflows, manage resources, and orchestrate interactions between different software components, leading to more efficient and intelligent systems.

*   **Personalized User Experiences and Adaptive Interfaces:** MAS can power applications that learn user preferences and adapt their behavior and interfaces accordingly, creating highly personalized and engaging experiences.

Concluding Thought: Embracing multi-agent systems isn't just about adopting a new technology; it's about fundamentally rethinking how we design, build, and deploy software. For developers willing to explore this collaborative and intelligent approach, the rewards are immense: more robust applications, more efficient workflows, and the ability to tackle problems once considered intractable. The future of software development is multi-agent, and now is the time to join the revolution.
WriterAgent > ## Beyond the Single-Minded: How Multi-Agent Systems Will Revolutionize Your Development Workflow

MAS fundamentally changes how we approach development by breaking down complex challenges into smaller, manageable tasks handled by specialized agents. This "distributed intelligence" allows for more efficient and effective solutions. Imagine agents working in parallel, significantly speeding up computations and simulations. This isn't just about faster development cycles; it's about building smarter software.

The benefits extend to robustness and scalability. With MAS, if one agent encounters an issue, the system can often continue operating, offering inherent fault tolerance. The modular nature of agents simplifies debugging and maintenance, as changes are localized. Need to handle more load? Simply add more agents – scalability becomes on-demand.

Furthermore, MAS unlocks advanced applications. Think complex simulations, intelligent automation of workflows, and truly personalized user experiences that adapt in real-time. Embracing MAS isn't just adopting a new tool; it's a fundamental shift in how we design and build. The rewards are immense: more resilient applications, streamlined workflows, and the ability to tackle previously intractable problems. The future of development is collaborative and intelligent – the multi-agent future is here.
EditorAgent > ## Beyond the Single-Minded: How Multi-Agent Systems Will Revolutionize Your Development Workflow

React JS vs. React Native | Same JS Framework With Different Purposes

Ruqaiya — Thu, 27 Apr 2023 10:56:28 +0000

In this blog, we will understand the difference between ReactJS and React Native. Before that we must know what javascript is and how does that work.

JavaScript is a scripting language that was used to create dynamic and interactive web pages, used in web browsers. However, it can also be used as a server-side language by using Node.js platforms for creating server-side applications.

| *JavaScript is Scipting Language. What does that mean? * |

A scripting language is a kind of programming languages used to automate problem solving tasks, perform system administration, or create simple applications.

Here is the step of code execution of a compiled language in a given image:

In a compiled language like C or Java, the source code is compiled into object code, which is then linked together to create an executable program that can be run on a computer. This process typically happens before the program is executed.

While, in a scripting language like JavaScript, the source code is interpreted directly by a runtime environment (e.g., a web browser), meaning that the code is executed directly by the software environment, without the need for a separate compilation step. This lets execute script run fast and easily to automate web page interactions or manipulate data. This makes JS ideal for rapid application development, prototyping, and automation where the focus is on speed and simplicity.

In this JS script, the document.write() function is used to output the message "Hello, world!" directly to the web page. The script is executed by the web browser when the page is loaded, without the need for any software environment.

| How JavaScript works? |

When a web page is loaded into the browser, it reads the HTML and CSS code and creates a Document Object Model (DOM) which then represents the structure and content of the page.

Here's an example of a simple JavaScript program that demonstrates some of these concepts:

In this example, a web page contains a paragraph element () with the ID "demo" and a button element () with an onclick attribute that calls a JavaScript function called myFunction(). When the button is clicked, the myFunction() function alters the text content of the "demo" paragraph using the innerHTML property of the document.getElementById() method. The modification to the web page are reflected in the output that the user views in the browser.

JavaScript can also be made used to connect with APIs, which are hook ups to allow various software systems/services to communicate with each other. I.e, To update the content of a web page without needing the page to be reloaded.

| ** Why frameworks are needed in javascript?** |

Frameworks in JavaScript, are pre-written code that is functionalities, libraries and tools to help developer to speed up the development process, improve code quality, and simplify or handle common tasks, such as DOM manipulation, event handling, and AJAX requests. By using a framework, developers can focus on solving the main problem of specific requirements of their application rather writing the same code over and over again.

Here's a simple diagram that shows how frameworks fit into the web development process:

Here's a simple code snippet that shows how React is used to create a simple web application:

In the above example, we import the React and ReactDOM libraries, parts of the React framework. We then create a component function 'App' that returns us a simple HTML structure. In the end, ReactDOM.render method is used to render our 'App' component function into the root element of our HTML page.

Without the use of framework like React, we would have to write all the code to handle HTML rendering, managing state, and updating the DOM ourselves again and again wherever needed. Using React safes our time to reuse same code multiple places to handling rendering tasks rather focusing on writing the logic specific to our application requirement.

Moreover, Frameworks can also helpful cross-browser compatibility, such as they often are tested across multiple browsers and different mobile devices, and render fallbacks and workarounds for browser-specific issues.

| *How ReactJS works? * |

ReactJS or React both terms are used interchangeably, is a JavaScript library utilized for building UI's on the web. It allows developers to create reusable components that can be composite together to make complex, interactive applications with effective rendering and updates.

Here's a simple diagram that shows how React works:

To represent the visual appearance of the component, React component renders and create a tree-alike structure of DOM elements. Instead of updating the entire DOM when a change is made, React uses virtual DOM, lightweight representation of the actual DOM and compares it with the previous version.

It then points the differences amongst the two versions and updates only the required parts of the actual DOM. This process, called "reconciliation," is much speedier than re-rendering the entire DOM, and maintains responsiveness and efficiency of the application.

Here's a simple example that shows how to create a simple React component:

In this example, we define a class component called "CustomComponent" that has an initial state of count: 0. We have also defined a method 'handleClick' that adds the count by one when a button is clicked. The render method returns a simple user interface to display the current count and a button to increment it.

React updates the component's state and provoke a re-render of the component, When the button is clicked. React, then updates the virtual DOM and performs a reconciliation process (diffing algorithm) to specify the limited set of changes required to update the actual DOM.

React components are usually formulated using a blend of JavaScript and a syntax extension known as JSX, that allow the developers to write HTML-like code into their JavaScript components. Which makes it easier to envision and work with the component structure.

React can also be used in combination with other libraries and frameworks, such as Redux for state management, React Router for routing, and Axios for handling HTTP requests. ReactJS can be used as a core building block for building robust, full-featured web applications.

| *How react Native works? * |

React Native is a JavaScript framework mainly utilized for building mobile applications for iOS and Android devices. It allows developers to create JS components that maps with native UI components on each platform.

Here's a simple diagram that shows how React Native works:

How RN displays visuals to the native platforms?

To represent the visual appearance, React Native component renders and creates a tree-alike structure of native UI components. These components are specific to the platform, such as UIKit for iOS and Android's built-in UI widgets.
Just alike React, RN uses virtual DOM, but to generate native UI components to target each platform. This approach allows React Native applications to acquire a native look and feel, while still using a same code base across both platforms.

Here's a simple example that shows how to create a simple React Native component:

In the above example, we defined a functional component called CustomComponent that has an initial state of count: 0. We have also defined a function of 'handlePress' to increment the count by one when a button is pressed. The component returns a simple user interface to display the current count and a button to add it.

RN updates the CustomComponent state and provoke a re-render of the CustomComponent om pressing the button. React Native then updates the native view and APIs to reflect the updated UI.

Additionally, React Native offers a set of pre-built components for handling common tasks, such as navigation, layout, and styling. These components are intended to be cross-platform, i.e, they work same on both iOS and Android.

RN also renders a bunch of APIs to allow developers for accessing native device features, such as the camera, accelerometer, and GPS. Benefits of a shared code base and rapid development cycle.

| What is difference between ReactJS and React Native? |

React JS and React Native are both JavaScript frameworks that were developed by Facebook. However, they fulfil different purposes.

To summarize, React JS is used for developing web applications, while React Native is made use for building mobile applications. While they share similar syntax and concepts, hence its cleared from above difference, they are two distinct frameworks with different use cases.

Project Management

Ruqaiya — Wed, 18 Jan 2023 05:49:51 +0000

Modifying your project timeline to set more realistic goals is a skill called project management.

Hi everyone, I am in 6th week of my internship with Mboalab Community, via Outreachy. Here I was assigned a project of "improving Digital Stethoscope AI App" where we need to brainstorm app ideas more precisely with mentors and fellow interns, train and evaluate the prediction of a Machine Learning algorithm with pre-trained open source heartbeat sound datasets, Design App prototype on Figma, develop UI/UX Portfolio on Android IDE using Flutter, Adding Functionality to the App, setting and adding up Back-end functionalities in Mobile App and Testing.

As time passes, we Brainstormed App ideas with mentors and co-interns, created a prototype on Figma, and Train open source dataset on CNN (mixing with other algorithms) Machine Learning Algorithm.

Choosing the right ML algorithms for Training the Open-source datasets took longer than expected in our project. As for me and my co-interns, Machine Learning and data training were new things. We get familiar ourselves with ML basics to understand the training task in our project, that's why it took longer.

What would I do differently if I started the project over?
I will learn training datasets from Kaggle, Keras, and Open-source tools used in ML for training and predicting data using the open-source pre-trained datasets. Also, get familiar with retrieving real-time predicted ML data to mobile apps.

The original Project must be modified to more realistic goals. This is an open-source project, and interns have no knowledge of ML in the project. Everything related to ML needed to be more specific in terms of tasks and learning resources. So that interns learn and accomplish tasks in a timely manner.

The Modification we planned for our project are

Train Open-Source datasets using as simple as possible algorithm.
Develop and Design App prototype on Android IDE.

Thank you so much for your time. See you in the next blog.

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Think About Your Audience

Ruqaiya — Mon, 09 Jan 2023 06:55:44 +0000

Hello readers! I am in 5th week of my internship. In this blog, I will introduce you with the project I am working on. "Improve stethoscope app AI".

> IF YOU are NEW to Open Source. And if you think that "I need a group of people that helps me to learn or improve new skills", then you are at the right blog

I got email few months back, of which I awaited intensely.

"Congratulations, you've been selected as an intern for the December 2022 to March 2023 Outreachy internship round. You'll be interning with Mboalab on the project "improve a digital stethoscope android app""

This is how I started a 3-month paid internship in the Open source community "Mboalab".

Mboalab is an open and collaborative space located in the village of Mefou-Assi, Yaounde, Cameroon. The aim of Mboalab is to facilitate long-lasting development and improve people's living conditions through open science. They bring together researchers, scholars, educationalists, policy makers and the general public to explore, design and implement projects responding to the health, economic and social needs of the community, such as the coronavirus pandemic. Their approach focuses on the incorporation of local knowledge and open digital technologies by focusing the local community especially Women. Raise public awareness of environmental issues and Facilitate access to basic health care.

I am selected for the project "Improve Digital Stethoscope AI App" which is the mixture of the Mobile app development, Machine Learning, Research and documentation. We are 3 interns selected for this project. I am from Pakistan and both my co-interns are from Africa and we are working remotely. We all are newbies to Open source and community world. My experience in Mobile app development (Flutter) will help me to implement in the project. Machine Learning part is (new to me) required to train the sound data modeling, predicting and suggesting (using Machine Learning Simple Algorithm) a diagnosis to patients within the app. I am exploring Keras, Tensorflow for training the sound heartbeat data.

Goal of the project:
The aim is to be able to limit the elongated contact the nursing staff with the patient and to have a device which can be placed by the patient but interpreted by the medical doctor.

Want to know more about the our project

What makes me most excited to work on my project?

I am working with the experienced mentors that help me to uplift me in the open source world. I got to know there are open source conferences happening in the world that offers knowledge, new experiences and even job opportunities in open source and open science. It's 3-month paid internship. Adding AI skill in my resume. I get to know the art of Remote work and Work-Life balance. Power of diversified communities.

Learn more about FOSS conferences?

I would like to share few terms and concepts, which I learn in past months:

FOSS: Free and Open Source Software. It doesn’t mean the software is free of cost. It means that the software's source code is open for all and anyone is free to use, study and modify the code. This principle allows others to contribute to developing and improving a software like a community.

FOSS Conferences: FOSS Conference talks are great because they teach you new skills or give you ideas.

FOSSCOMM (Free and Open Source Software Communities Meeting) is a Greek conference aiming at free-software and open-source enthusiasts, developers, and communities. It has been hosted in various cities around Greece and its goal is to promote the use of FOSS in Greece and to bring FOSS enthusiasts together.

Art of Remote Work.

When you feel stressed in life remember "communication is the key". You can communicate your life and work problems with anyone from mentors to the Project Manager. Just talk to someone and overcome the negative vibe from your thought ad heart. And add the light of hope and positive vibe in your life.

End thought on the project
The point is not to complete just the end product, but to improve and brainstorm the complete solution for the betterment of the common people of Africa especially women.

I hope this blog makes you think about Outreachy, the Software Freedom Conservancy and FOSS. See you in my next blog.

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Everybody Struggles

Ruqaiya — Fri, 23 Dec 2022 05:21:23 +0000

Hi Everyone, I am in the 3rd week of my internship. Now, I get to know my mentors and fellow interns, and we discussed our project details, and how things will work on the project (digital stethoscope AI). From here interns are supposed to be in the action phase of the project. The first part of the action phase is the AI/ML part of our project. Before that, I want to share how I clear my curiosity about some terms during my application phase, which was new to me.

Open source - Open source refers to a type of software whose source code is available to the public and can be freely used, modified, and distributed by anyone as long as they stick to certain conditions, such as properly attributing the software to its original developers and not using it for commercial purposes without permission. [asked from ChatGPT]

Open-source Software- open source software is all about the community coming together to collaborate and build something amazing and open-source software allows you to learn and practice new skills in a safe environment. [source book: Forge your Future with Open source by VM(Vicky) Brasseur]

Community - Group of individuals who come together to collaborate and build something amazing. Those can be programmers, designers, documentation writers, and other contributors who work together to improve the project and make it more widely available [source book: Forge your Future with Open source by VM(Vicky) Brasseur]

MboaLab Community - The community to which I contributed, is an open and collaborative space located in Yaoundé, Cameroon. The aim of MboaLab is to catalyze sustainable local development and improve people's living conditions through open science.

Outreachy: provides internships in open source and open science.

My core value "Learning" helped me to ask out for help while struggling with the problems I face during the initial phase of the application.

Now come back to the 3rd-week internship phase. As I stated above, I am in the action phase now. And the sad part is I have not worked on Machine Learning (ML) before, not even having knowledge of it, which makes me nervous. But After having a session with my mentors, I am reminded that this internship is about getting to know how open source and community works. We must focus on what we can do, instead of wasting time on the things we can't do.

Nobody is an expert, but learning, practicing, and growing is what we can do. So I, with my fellow interns decided to accept this challenge and started learning about ML after discussing it with mentors. Below are the new terms I learned about an AI part of my project.

The terms I learned are Stethogram - The record of heart sounds.

TensorFlow - TensorFlow is an open-source end-to-end platform that makes it easy for you to build and deploy ML models.
Machine Learning - Programming with data, is the practice of helping software perform a task without explicit programming or rules.

A Neural Network is a type of model that can be trained to recognize patterns.

Model: A statistical representation of a prediction task. You train a model on examples and then use the model to make predictions. in our project case, the model is the audio soundtrack of a heartbeat.

Pipeline: The infrastructure surrounding a machine learning algorithm. Includes gathering the data from the front end, putting it into training data files, training one or more models, and exporting the models to production.

Learning new things can take time and effort. We struggle to find the right resource to follow, so our mentors encourage us to use OpenAI. It is an AI research and deployment company. Their mission is to ensure that artificial general intelligence benefits all of humanity. Asking for help for what you don't know from those who know can be fun for them to help. Discussing and writing about what I don't know or struggle with helping me to find the answer to what I can do.

Where I find more help ?

I posted on my Twitter and searched on LinkedIn. You know when you seek help universe will start showing you a solution, I found a post where a person posted that he will gift a Udemy paid course randomly to anyone who comment on his post with whatever course they comment on, so I searched for the best resource I found on Udemy for ML/AI I comment that link and Fortunately got his DM with the gifted course on ML/AI. I will reveal that course after completing it in my next blog till then Never stop Learning, Practicing, and Growing

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Outreachy Intern with MboaLab [22-23]

Ruqaiya — Thu, 08 Dec 2022 11:17:34 +0000

This is Ruqaiya from Karachi, Pakistan. The Philocalist, who is optimistic, a book-reader, and enjoys watching the sunset every day (an opacarophile).

I have been selected as an intern for December 2022 to March 2023 Outreachy internship round. I am interning with Mboalab on the project "improve a digital stethoscope android app". MboaLab is an _open and collaborative space _located in Yaoundé, Cameroon. The aim of MboaLab is to catalyze sustainable local development and improve people’s living conditions through open science. My mentor(s) are jafsia elisee and Stephane Fadanka.

Academically, I am a Software Engineer. Professionally, I have experience in working in Developing Android applications, a Mobile App Developer. My Skills are: Dart, Flutter, Java, Kotlin, HTML, CSS, Git, GitHub, Android, Firebase, SQlite and Local DB.

My core values are Learning, Meaningful Work, and Wealth.
I value Learning, I always believed that Humans are capable of learning anything that interests them. I wanted to understand how things work, learn the pattern and improve them by contributing. That's why I value meaningful work, I want to contribute to meaningful work, and that's how I want to serve people by adding value to their life so that I feel deeply happy to contribute to mankind's ease. I want to be part of the universe to make the earth a better place for humans.

I also value wealth. To me, wealth is about having a mindset, finance-set, health-set, soul-set and heart-set. Being financially independent emits ripples of positive vibes from you that reach other people and create a kind connection between humans. I like a saying read somewhere

Money is the currency that must flow like electricity. Hoarding it stops the flow of it into your business and private life. So GIVE more to Receive more.

Lets talk about how I get to know Outreachy?. I saw on social networt some past interns talking about open-source, so it makes me Curious what is it, and how it works, how people with diverse cultures and remote locations manage to connect with each other without judging. And is the work they do within Outreachy meaningful to Contribute? That's how I reach the Outreachy website, read all the data from their website then talked with a few past interns and applied.