Introduction

Hack4Bengal is a premier hackathon that brings together tech enthusiasts, students, and professionals to collaborate on innovative projects. The College Edition of Hack4Bengal is particularly exciting, as it provides a platform for college students to showcase their skills, learn from industry experts, and network with like-minded peers. This blog explores the significance of Hack4Bengal College Edition and what makes it an unmissable event for aspiring technologists.

The Essence of Hack4Bengal College Edition

Hack4Bengal College Edition is designed to empower students by offering a unique opportunity to engage in intensive, hands-on coding and problem-solving. The event typically spans over a couple of days, where participants form teams and work on projects that address real-world challenges. The hackathon environment fosters creativity, teamwork, and a spirit of innovation, encouraging students to push the boundaries of what’s possible with technology.

Event Highlights

1. Workshops and Mentorship:
Hack4Bengal College Edition features a series of workshops conducted by industry professionals. These sessions cover cutting-edge technologies and development tools, providing participants with valuable insights and skills. Additionally, mentors are available throughout the hackathon to guide teams, offering advice and support to help them overcome technical challenges.

2. Networking Opportunities:
The event is an excellent platform for networking. Students get to interact with peers from different colleges, industry experts, and potential employers. This exposure is invaluable for building professional relationships and gaining insights into the tech industry.

3. Innovative Projects:
Participants are encouraged to develop projects that have the potential to make a significant impact. Previous editions of Hack4Bengal have seen projects ranging from AI-driven applications to innovative healthcare solutions. The diversity of projects showcases the creativity and technical prowess of the participants.

4. Prizes and Recognition:
To motivate participants, Hack4Bengal College Edition offers exciting prizes for the best projects. Winning teams often receive cash prizes, tech gadgets, and other rewards. Moreover, the recognition gained from participating and winning can be a significant boost to a student’s resume.

Why Participate?

– Skill Development:
Engaging in a hackathon is one of the best ways to improve coding and problem-solving skills. The fast-paced environment helps students learn to work under pressure and think creatively.

– Real-World Experience:
The challenges presented during Hack4Bengal are often based on real-world problems, providing students with a taste of what it’s like to work on meaningful projects in a professional setting.

– Career Advancement:
Participation in such events is highly regarded by employers. It demonstrates a candidate’s commitment to learning and their ability to work collaboratively on complex problems.

Conclusion

Hack4Bengal College Edition is more than just a hackathon; it’s a launchpad for the next generation of tech innovators. By bringing together a diverse group of talented students, offering them guidance and resources, and challenging them to solve real-world problems, Hack4Bengal helps nurture skills that are essential for their future careers. If you’re a college student passionate about technology, participating in Hack4Bengal College Edition is an opportunity you shouldn’t miss.
For more details and to register for the event,
visit : https://www.hack4bengal.tech/

The post Hack4Bengal College Edition appeared first on ProdSens.live.

Posted by Bradford Lee – Product Marketing Manager, Augmented Reality, and Ahsan Ashraf – Product Marketing Manager, Google Maps Platform

In September, we launched Google’s Immersive Geospatial Challenge on Devpost where we invited developers and creators from all over the world to create an AR experience with Geospatial Creator or a virtual 3D immersive experience with Photorealistic 3D Tiles.

“We were impressed by the innovation and creativity of the projects submitted. Over 2,700 participants across 100+ countries joined to build something they were truly passionate about and to push the boundaries of what is possible. Congratulations to all the winners!” 

– Shahram Izadi, VP of AR at Google

We judged all submissions on five key criteria:

Functionality – How are the APIs used in the application?

Purpose – What problem is the application solving?

Content – How creative is the application?

User Experience – How easy is the application to use?

Technical Execution – How well are you showcasing Geospatial Creator and/or Photorealistic 3D Tiles?

Many of the entries are working prototypes, with which our judges thoroughly enjoyed experiencing and interacting. Thank you to everyone who participated in this hackathon.

From our outstanding list of submissions, here are the winners of Google’s Immersive Geospatial Challenge:

Category: Best of Entertainment and Events

Winner, AR Experience: World Ensemble

Description: World Ensemble is an audio-visual app that positions sound objects in 3D, creating an immersive audio-visual experience.

Winner, Virtual 3D Experience: Realistic Event Showcaser

Description: Realistic Event Showcaser is a fully configurable and immersive platform to customize your event experience and showcase its unique location stories and charm.

Winner, Virtual 3D Experience: navigAtoR

Description: navigAtoR is an augmented reality app that is changing the way you navigate through cities by providing a 3 dimensional map of your surroundings.

Category: Best of Commerce

Winner, AR Experience: love ya

Description: love ya showcases three user scenarios for a special time of year that connect local businesses with users.

Category: Best of Travel and Local Discovery

Winner, AR Experience: Sutro Baths AR Tour

Description: This guided tour through the Sutro Baths historical landmark using an illuminated walking path, information panels with text and images, and a 3D rendering of how the Sutro Baths swimming pool complex would appear to those attending.

Winner, Virtual 3D Experience: Hyper Immersive Panorama

Description: Hyper Immersive Panorama uses real time facial detection to allow the user to look left, right, up or down, in the virtual 3D environment.

Winner, Virtual 3D Experience: The World is Flooding!

Description: The World is Flooding! allows you to visualize a 3D, realistic flooding view of your neighborhood.

Category: Best of Productivity and Business

Winner, AR Experience: GeoViz

Description: GeoViz revolutionizes architectural design, allowing users to create, modify, and visualize architectural designs in their intended context. The platform facilitates real-time collaboration, letting multiple users contribute to designs and view them in AR on location.

Category: Best of Sustainability

Winner, AR Experience: Geospatial Solar

Description: Geospatial Solar combines the Google Geospatial API with the Google Solar API for instant analysis of a building’s solar potential by simply tapping it.

Winner, Virtual 3D Experience: EarthLink – Geospatial Social Media

Description: EarthLink is the first geospatial social media platform that uses 3D photorealistic tiles to enable users to create and share immersive experiences with their friends.

Honorable Mentions

In addition, we have five projects that earned honorable mentions:

Simmy

FrameView

City Hopper

GEOMAZE – The Urban Quest

Geospatial Route Check

Congratulations to the winners and thank you to all the participants! Check out all the amazing projects submitted. We can’t wait to see you at the next hackathon.

The post Congratulations to the winners of Google’s Immersive Geospatial Challenge appeared first on ProdSens.live.

Are you ready to flex your coding skills and win big prizes at API World + AI DevWorld Hackathon 2023? TinyMCE has two exciting challenges, where you can show off your web developer and Generative AI expertise, using your creativity and our rich text editor plugins.

The Challenges

TinyMCE Challenge #1 – Best Use of TinyMCE

Build an amazing project using the TinyMCE WYSIWYG editor and its plugins.
You can win:

• 1st Prize: JBL Wireless Flip 5 Bluetooth Speaker (worth up to $500, split between team members)
• 2nd Prize: 3D Printing Pen (worth up to $100, split between team members)

To win, make sure to:

• Use a Tiny Cloud account
• Include at least 3 x Open Source plugins
• Add some bling with 2 x Premium plugins

Get creative! The most innovative use of TinyMCE wins

TinyMCE Challenge #2 – Best Use of AI Assistant Plugin

Show off the mighty power of TinyMCE’s AI Assistant (Premium) plugin.
You can win:

• 1st Prize: JBL Wireless Flip 5 Bluetooth Speaker (worth up to $500, split between team members)
• 2nd Prize: 3D Printing Pen (worth up to $100, split between team members)

To claim victory:

• Use a Tiny Cloud account
• Include at least 3 x Open Source plugins
  Equip your project with the AI Assistant (Premium) plugin
• Create awesome custom prompts for ChatGPT
• Showcase the most epic use case for the AI Assistant (Premium) plugin

How to Enter

Step 1: Register on Eventbrite and DevPost for the Hackathon.
Step 2: Build an amazing project using TinyMCE.
Step 3: Join the TinyMCE Discord and showcase your project in #showcase so the team can hype it up!
Step 4: Submit your hack on DevPost by October 26, 2023.

Prizes and Judging

The API World team will judge projects based on creativity, technical difficulty, polish, and overall implementation.
The best TinyMCE projects will win! Prizes are split between team members.

Timeline

• October 9-26, 2023: Build your hacks
• October 25-26, 2023: In-person Hackathon and final presentations in Santa Clara, CA
• *October 26, 2023: * Submissions due on DevPost

Ready to show off your editor skills and win big? Register today on Eventbrite and DevPost.

May the best hacks win!

Connect with TinyMCE:

• Website
• TinyMCE Blog
• TinyMCE Twitter
• LinkedIn
• Github
• Facebook
• YouTube
• Discord

Let us know if you have any other questions. We look forward to seeing your amazing TinyMCE projects.

-TinyMCE Team

The post Join the TinyMCE Challenge at API World + AI DevWorld Hackathon 2023 appeared first on ProdSens.live.

Overview

Heart diseases are the #1 cause of death every year. Why? It’s usually already too late when people realise something is wrong and contact a medic. How can we help people realise sooner, and simultaneously, how can we help medics save lives?

Our app, powered by a chatbot AI, collects minimal but crucial user data related to cardiovascular health, including age, weight, gender, lifestyle factors, blood pressure, cholesterol, and glucose levels. With this information, the chatbot provides personalized explanations and recommendations, guiding users to consult a medical professional if necessary. By offering tailored insights, our app aims to empower individuals to take proactive steps towards their cardiovascular well-being, potentially saving lives through early detection and intervention.

Problem statement

The aim of this project is to detect the presence or absence of cardiovascular disease in a person based on a set of given features. The features available for analysis include the parameters like Age, Height, Weight, Gender, Physical Activity Level, Drinking habits, Various Blood Pressure parameters, Cholesterol level, Glucose level et cetera.

Proposed Solution and Approach

We want to save the lives of many. The best way to approach people and drive use is with a non-invasive user-friendly solution. We preferred a simple and achievable goal to a technically complex solution that didn’t add value. So we decided to build an app with chatbot AI to collect just the minimum set of data (the most important features) and make a personalized explanation and recommendation, based on the User’s knowledge and data available, to consult a medic eventually. We use known and proven components, only in a different way.

There are two parts to this project.

1. One, we trained an ML model to predict cardiovascular diseases from decisive inputs.

2. Two, the frontend chatbot application. With today’s countless alternatives, we preferred to focus on the back end on milestone 1.

Today it’s not about the code. effective communication is the most important part of the stack. The most important step is getting users to use the app, understand it, and act.

Step-by-Step Solution Details:

Classification The Cardio Vascular Prediction solution utilizes the powerful and widely acclaimed XGBoost algorithm for accurate predictions. XGBoost, also known as Extreme Gradient Boosting, is a supervised learning algorithm that excels in both regression and classification tasks. Its success lies in its ability to combine predictions from multiple weak models, forming a robust ensemble.

XGBoost’s strength stems from its adaptability to various data types and complex distributions. This makes it a suitable choice for cardiovascular prediction, where the dataset is often diverse and intricate.

Additionally, XGBoost offers a multitude of hyperparameters that can be tuned to enhance the model’s performance and fit. With XGBoost, the Cardio Vascular Prediction solution can effectively identify fraudulent transactions by calculating the probability of fraud based on transaction features.

By leveraging ensemble techniques like bagging and boosting, XGBoost combines a group of relatively average models to create a potent algorithm. This approach is analogous to a powerful random forest algorithm, where multiple decision trees collaborate to achieve superior results. Ensemble techniques, such as bagging and boosting, enable the solution to reduce variance, mitigate overfitting, and enhance the model’s robustness.

Similar to a group of blind men describing an elephant, each contributing their unique perspective, the collaboration of models in the ensemble brings diverse experiences and backgrounds to solve the prediction problem, resulting in more accurate and reliable outcomes.

By leveraging the immense capabilities of XGBoost, the Cardio Vascular Prediction solution on AWS ensures high-quality predictions while considering the complexity and diversity of cardiovascular data.

Model Performance Assessment (Confusion Matrix)

A confusion matrix is a valuable tool for evaluating the performance of a classification model. It provides a comprehensive view of how well the model predicts the classes of the data. The matrix consists of four elements:

True positives (TP):

These are the cases in which the classifier correctly predicted the positive class (e.g., a patient having a disease), and the actual class was indeed positive.

True negatives (TN):

These are the cases in which the classifier accurately predicted the negative class (e.g., a patient without a disease), and the actual class was indeed negative.

False positives (FP) (Type I error):

These occur when the classifier incorrectly predicted the positive class, indicating that a patient has the disease, but the actual class was negative (e.g., a false alarm or a patient wrongly identified as having the disease).

False negatives (FN) (Type II error):

These occur when the classifier incorrectly predicted the negative class, suggesting that a patient does not have the disease, while the actual class was positive (e.g., a failure to identify a patient who actually has the disease)

By analyzing the values in the confusion matrix, we can assess the model’s performance, identify areas where it excels, and pinpoint potential weaknesses. This information enables us to fine-tune the model, optimize its accuracy, and ensure reliable predictions in real-world scenarios.

Architecture Explanation

The proposed solution is an intelligent health monitoring system that utilizes various AWS services and the OpenAI platform to analyze input data and provide valuable insights to end users. The system incorporates data from multiple sources, including objective and subjective features, to predict the presence or absence of cardiovascular disease. The system follows a series of stages, involving API Gateway, AWS Lambda, AWS Sagemaker, and OpenAI endpoints, to process and deliver the final response to the end user.

Stage 1: Input Processing

The system begins by receiving input data through the API Gateway. The input data consists of various features related to an individual’s health, such as age, height, weight, gender, blood pressure, cholesterol level, glucose level, smoking habits, alcohol intake, physical activity, and the presence or absence of cardiovascular disease. This data is passed to the AWS Lambda function for further processing.

Stage 2: AWS Lambda Function

In this stage, the AWS Lambda function receives the input data from the API Gateway. The Lambda function acts as the central processing unit, extracting the relevant information from the input and performing any necessary data transformations or validations. The extracted data is prepared for further analysis and passed on to the next stage.

Stage 3:AWS Sagemaker Endpoint

After preprocessing the data, the Lambda function invokes the AWS Sagemaker endpoint. Sagemaker is a fully managed machine learning service provided by AWS. The endpoint is responsible for deploying and running the machine learning model that predicts the presence or absence of cardiovascular disease. The processed data is sent to the Sagemaker endpoint for inference.

Stage 4:Sagemaker Endpoint Response

The Sagemaker endpoint performs inference using the deployed machine learning model and returns the prediction results back to the Lambda function. The results include a raw output that indicates the likelihood of the presence or absence of cardiovascular disease based on the input data. The Lambda function receives this output for further processing.

Stage 5: OpenAI Endpoint

In this stage, the Lambda function utilizes the OpenAI platform to enhance the raw output received from the Sagemaker endpoint. OpenAI is an AI-powered platform capable of generating human-like text. The Lambda function sends the raw output to the OpenAI endpoint for further analysis and processing.

Stage 6: OpenAI Response and API Gateway

The OpenAI endpoint processes the raw output and generates a processed and curated response. This response contains valuable insights and explanations regarding the prediction of cardiovascular disease. The Lambda function receives the processed output from OpenAI and prepares it to be served back to the end user. Finally, the processed output is returned via the API Gateway as a response to the end user, providing them with valuable health-related information based on the input data.

Outcomes, Learnings, and Best Practices Learned in the Process

Today, AI is no longer solely about writing elite code. With the availability of large pre-trained models and numerous developed technologies, AI has become a journey towards solving meaningful challenges and building something together.

In this pursuit, we, as technical builders at heart, are passionate about problem-solving and are driven by the desire to make a real difference. During our exploration, we came across a startling fact: every year, more people lose their lives to heart diseases than even to cancer and epidemics combined. What makes this even more tragic is that most of these deaths are preventable.

This realization presented us with an opportunity to have a tangible impact on the lives of countless individuals. Throughout our journey, we’ve come to understand a crucial lesson: there is an abundance of architectures and solutions available today. It’s incredibly easy to get side-tracked and lose sight of what truly matters.

Therefore, we made a conscious decision to stay laser-focused on what will ultimately help us achieve our goal of saving lives. We carefully considered various options and weighed their significance. By narrowing down our focus, we ensured that our efforts are directed towards solutions that directly address the problem at hand. Our commitment to making a difference serves as our guiding principle, guiding us towards the most effective paths.

In our quest to combat heart diseases and save lives, we are determined to leverage the advancements in AI and technology. By doing so, we believe we can bring about substantial improvements in detection, prevention, and treatment. Through collaboration, innovation, and unwavering dedication, we are optimistic that we can make a significant impact and help save lives affected by heart diseases.

Examples of prompts and chatbot responses

No risk

Hello, Mary Sue! Based on the information you provided, I'm glad to inform you that you are currently at a lower risk of heart disease. Let's explore each factor that contributes to your positive health profile:

Age: At 25 years old, you are at an age where heart diseases are less common. However, it's still important to maintain a healthy lifestyle to prevent future risks.

Gender: Being female typically provides certain cardiovascular advantages, resulting in a lower risk of heart disease compared to males.

Body Measurements: Your height of 1.80m and weight of 70kg indicate a healthy body mass index (BMI), which suggests that you are within a desirable weight range.

Blood Pressure: Your blood pressure readings of 100/80 mmHg (high/low) fall within the normal range, indicating a healthy blood pressure level.

Cholesterol Levels: Having low cholesterol levels implies that you have a decreased risk of plaque buildup in your arteries, reducing the likelihood of heart disease.

Blood Glucose Level: A normal blood glucose level indicates that you have a well-regulated metabolism, which contributes to a lower risk of heart disease.

Smoking: Not smoking is a significant advantage since smoking is a major risk factor for heart disease. Your decision to abstain from smoking protects your heart health.

Alcohol Consumption: Avoiding alcohol consumption is beneficial, as excessive alcohol intake can elevate blood pressure and increase the risk of heart disease.

Physical Activity: Engaging in regular physical activity is excellent for heart health. Your commitment to regular exercise strengthens the heart, improves blood flow, and lowers the risk of heart disease.

Given your positive health profile, you are not currently at high risk for heart disease. However, it's still essential to maintain a healthy lifestyle, including regular exercise, a balanced diet, and routine health check-ups. By prioritizing these aspects, you can continue to safeguard your heart health and overall well-being. If you have any concerns or experience changes in your health, it's always wise to consult a doctor for personalized guidance. Keep up the good work in taking care of yourself!

Risk – uneducated (young) user

Hello John Doe! I'm here to discuss an important matter related to your health. Based on the information you provided, there are several factors that indicate you may be at a high risk of heart disease. Let's take a closer look at each risk factor:

Age: Being 18 years old doesn't guarantee protection against heart diseases. While it's less common at a young age, certain risk factors can still contribute to heart problems.

Gender: Men, like you, have a higher risk of heart disease due to biological and lifestyle factors.

Body Measurements: Your height of 1.80m and weight of 95kg indicate that your body mass index (BMI) is higher than the recommended range. This suggests that you might be carrying excess weight, which can strain your heart and increase the risk of heart disease.

Blood Pressure: Your high blood pressure reading of 150 and low blood pressure reading of 120 are both concerning. Consistently elevated or fluctuating blood pressure levels can damage your blood vessels, putting you at a higher risk of heart disease.

Cholesterol Levels: High cholesterol levels can lead to the buildup of plaque in your arteries, restricting blood flow and increasing the risk of heart disease.

Blood Glucose Level: High blood glucose levels suggest that you may have elevated blood sugar. This can contribute to the development of diabetes, which in turn increases the risk of heart disease.

Smoking: Smoking is extremely harmful to your heart and blood vessels. The chemicals in cigarettes damage the arteries, increase blood pressure, and elevate the risk of heart disease.

Alcohol Consumption: Excessive alcohol consumption, such as drinking several glasses per day, can lead to high blood pressure, irregular heart rhythms, and other heart-related problems.

Physical Inactivity: Not engaging in regular physical activity puts you at a higher risk of heart disease. Exercise helps maintain a healthy weight, lower blood pressure, and improve overall cardiovascular health.

Considering all these risk factors, it is crucial for you to consult a doctor as soon as possible. They can evaluate your health comprehensively, conduct necessary tests, and provide personalized guidance to manage and mitigate these risks effectively. Taking proactive steps and seeking medical advice will greatly improve your chances of preventing heart disease. Your health is important, so please prioritize it by consulting a doctor promptly.

Risk – experienced and adult user

Dear Mr. John Doe, based on the provided information, I must emphasize that your current health profile places you at a significantly high risk of heart disease. Allow me to elaborate on each risk factor and its potential detrimental effects:

Age: At 58 years old, the risk of developing heart disease tends to increase due to the natural aging process and cumulative exposure to various risk factors over time.

Gender: Being male, you are more predisposed to heart diseases compared to females, as hormonal and genetic factors contribute to a higher prevalence.

Body Measurements: With a height of 1.80m and a weight of 95kg, your body mass index (BMI) indicates that you are overweight. Excessive weight puts strain on your heart and elevates the risk of cardiovascular complications.

Blood Pressure: Your blood pressure readings of 150/120 mmHg (high/low) demonstrate hypertension, a condition that burdens the heart and blood vessels, potentially leading to heart disease, stroke, and organ damage.

Cholesterol Levels: Elevated cholesterol levels, especially if your low-density lipoprotein (LDL) cholesterol is high, promote the deposition of fatty plaques in arterial walls, obstructing blood flow and heightening the likelihood of heart diseases.

Blood Glucose Level: High blood glucose levels suggest impaired glucose regulation, potentially indicating diabetes or prediabetes. Elevated blood sugar levels contribute to the development of atherosclerosis, increasing the risk of heart disease.

Smoking: Smoking is a significant risk factor that damages the inner lining of blood vessels, accelerates the formation of arterial plaques, and raises blood pressure, significantly increasing the likelihood of heart disease.

Alcohol Consumption: Consuming several glasses of alcohol per day contributes to high blood pressure, irregular heart rhythms, and weakening of heart muscles, augmenting the risk of heart diseases.

Physical Inactivity: The absence of regular physical activity reduces cardiovascular fitness, weakens the heart muscle, and impairs overall heart health, increasing the susceptibility to heart diseases.

Considering these multiple risk factors, I strongly urge you to promptly consult a doctor. Medical professionals can assess your specific circumstances, conduct comprehensive evaluations, and develop a personalized plan to manage and mitigate these risks. By taking proactive measures and seeking professional guidance, you can significantly improve your cardiovascular health and reduce the chances of heart disease. Your well-being is paramount, so please prioritize your health and seek medical attention without delay.

Conclusion

The intelligent health monitoring system described above utilizes AWS services, such as API Gateway, Lambda, and Sagemaker, along with the OpenAI platform, to process input data and deliver valuable insights to end users. By leveraging machine learning and natural language processing capabilities, the system can predict the presence or absence of cardiovascular disease and provide detailed explanations for the prediction. This solution enables users to monitor their health more effectively and make informed decisions regarding their well-being.

Next Steps

We’ll build the front end to consume the model, support all major platforms, and sources of input, like Apple Health and other integrations to make this completely automatic, with less need for the user to answer the chatbot manually. The less work from the user, the higher the adoption rate. We want to save lives, so it’s critical we make it easy. Later on, we may create APIs for medics and labs to read and write – provided regulatory compliance. We’ll also train the model to add fine-grained information on different heart diseases.

This Blog post was Co-Authored by

Ermanno Attardo
https://www.linkedin.com/in/ebjattardo/
Website: www.ermannoattardo.com
Govind Kumar
https://www.linkedin.com/in/elngovind/
Website: www.elngovind.com

Github Link: https://github.com/AI-MediSphere/PredictionModel

The post AI-MediSphere™ – The Cardiovascular Prognosticator appeared first on ProdSens.live.

We love hackathons. In fact, that’s where the idea for 1Password came from – with all-night coding sessions that demanded credentials throughout the process.

Hackathons are high-energy, creative marathons that serve as a playground for innovation and collaboration, and often result in exciting projects that are a joy to deliver. That’s why we’re excited to announce the first virtual 1Password Hackathon hosted by Hashnode.

Taking place June 1st through June 30th, participants will compete for a chance to win $10,000 in cash prizes by building with 1Password Developer Tools and Passage by 1Password.

As much fun as in-person hackathons are, we’re also big fans of virtual ones that are global in scope and inclusive of all skill levels. If you’re a developer looking to sharpen your skills, network with like-minded individuals, and craft something extraordinary, the Hashnode Hackathon should be on your list. There are 10,000 reasons why – and utilizing 1Password Developer Tools and Passage can make your experience even better.

Your mission – and the tools in your toolbelt

1Password Developer Tools brings the speed and security of biometrics to your dev workflows. Passage unlocks passwordless sign-in – powered by passkeys – for your users. Hackathon participants will receive two free months of 1Password and 1Password Developer Tools, including Shell Plugins and 1Password CLI for new customers. For Passage, the free tier will suffice for hackathon purposes.

Let’s talk details. For the hackathon event, we’re challenging you to build with or on top of these tools:

1. Passage by 1Password: The easiest way to implement passkey authentication in your app or website.
2. 1Password Shell Plugins: Eliminate API access keys stored on disc and securely authenticate any CLI with your fingerprint, Apple Watch, or other biometrics.
3. 1Password CLI: Automate administrative tasks, securely provision secrets across development environments, and use biometrics to authenticate in the terminal.

What are 1Password Developer Tools?

1Password is a password management platform used extensively in the developer community, in part because of features designed specifically for developers.

With 1Password Developer Tools, you can securely store passwords, API keys, and other secrets, then access them in your code or easily share with your team members. This not only makes your project more secure but also simplifies collaboration.

What is Passage by 1Password?

Passage allows you to implement seamless passwordless authentication in your app or website with just a few lines of code. Eliminate passwords for good with Passkey Complete, a standalone solution that defaults to passkeys with fallbacks to other passwordless methods. Or use Passkey Flex to add support for passkeys alongside your existing password-based auth flow. Passage takes care of authentication so you can focus on the core logic of your hackathon project.

During the June Hackathon, we invite you to show off your skills and submit a project that expands Passage by integrating it with other platforms, like Supabase. Or, you could build one that shows a creative way Passage can be used to streamline sign-in for your application or service.

Want to really impress the judges? Make your project multi-platform and show how Passage works across systems and devices.

Examples from the community

1Password wouldn’t be 1Password without the developer community. In fact, more than half of our published Shell Plugins have been written by the community!

We’ve seen some amazing projects and integrations built on the 1Password CLI, including the VS Code integration and a community-written JetBrains integration. And we can’t wait to see what Hackathon participants build to extend Passage to new frameworks and platforms. If you’re looking for inspiration, we’d love to see more integrations like the newly published Supabase package.

And for even more projects contributed by the community, see the 1Password Community Showcase.

To get started, register to participate with Hashnode. You’ll receive an email containing a coupon code and instructions to redeem your two free months of 1Password for new customers.

Get support from the 1Password community

Need some guidance to help you get started – or to stay on track? We’re here to help.

Chat with other devs in our Developer Slack community and on the Hashnode Discord.
Set up a pair programming session with our engineers. To request a session, see the instructions in the Discord channel.
We’ll have two live events in June including the Hashnode Workshop with demos and Q&A on June 7th and a Community Office Hour on June 23rd.

Good luck to all participants!

This hackathon is an exciting community project and we look forward to meeting and learning from you! We’ll be watching all the action on Discord, our Developer Slack, and GitHub. Please be sure to use #Buildwith1Password so we can help spread the word and profile your work!

Let’s get hacking!

Please note, this hackathon is a Hashnode contest and terms and conditions apply. You can find all applicable details on the contest website.

The post Join the 1Password Hackathon hosted by Hashnode and compete for $10,000 in prizes appeared first on ProdSens.live.

Hey everyone, Franco here and I want to share with everyone the story of how my weekend project, TextGPT, turned into a profitable business opportunity.

For years, I’ve been toying with the idea of a SMS-based application. I find SMS to be so frictionless and easy to adopt. A few weeks ago, I had the idea of building an SMS-based AI chatbot that would be easy to use and highly effective. I wanted to create a chatbot that could be accessed through a messaging app without the need to download an app or visit a website. With the help of OpenAI’s GPT architecture, I was able to build TextGPT in just a weekend.

The stack is simple, using Remix I can manage both the front and backend from a single codebase. Supabase handles auth with OTP and database storage. OpenAI does the magic. Lastly, Twilio manages all the sms traffic.

After I launched TextGPT, I started promoting it on social media and within my network. To my surprise, the response was overwhelmingly positive. People loved the idea of being able to communicate with an AI chatbot through SMS. They’ve called it “their friendly bot”, “midnight therapist”, “venting partner”, and more.

As the word about TextGPT spread, I started receiving inquiries from folks that wanted to “white label” TextGPT and put their own spin on it. They saw the potential of using TextGPT to create their own personalize sms experience.

In just over 30 days, TextGPT has generated over $800 in revenue and has over 1000 users. It’s been amazing to see how my weekend project has turned into a profitable business opportunity.

Overall, I’m thrilled with the success of TextGPT and I’m excited about the future possibilities that it holds. This experience has taught me that even the smallest weekend project can turn into a profitable business opportunity if you have the right idea and are willing to put in the work. So if you have an idea for a project that you’re passionate about, go ahead and give it a try – you never know where it might take you!

The post TextGPT: A Profitable Weekend Project appeared first on ProdSens.live.

Key Facts

• You have 10 days to build a new Open Source project using Supabase in some capacity.
  • Starting 6:00 am PT Friday 7th April 2023
  • The submission deadline is 11:59 pm Sunday midnight PT 16th April 2023
• Enter as an individual, or as a team of up to 5 people
• Build whatever you want – a project, app, tool, library, or anything

Prizes

There are 5 categories, there will be prizes for:

• Best overall project (Mechanical Keyboards & Swag kit)
• Best use of AI (Swag kit)
• Most fun / best easter egg (Swag kit)
• Most technically impressive (Swag kit)
• Most visually pleasing (Swag kit)

There will be a winner and a runner-up prize for each category. Every team member on winning/runner-up teams gets a Supabase Launch Week swag kit.

Submission

You should submit your project using this form before 11:59 pm Sunday midnight PT 16th April 2023. Extra points if you include a simple video demoing the app in the description.

Judges

The Supabase team will judge the winners for each category.
We’ll be looking for:

• creativity/inventiveness
• functions correctly/smoothly
• visually pleasing
• technically impressive
• use of Supabase features
  • deep usage of a single feature or
  • broad usage are both ok
• FUN!

Rules

• Team size 1-5 (all team members on winning teams will receive a prize)
• You cannot be on multiple teams
• One submission per team
• It’s not a requirement to use AI, it’s just a theme
• All design elements, code, etc. for your project must be created during the event
• All entries must be Open Source (link to source code required in entry)
• Must use Supabase in some capacity
• Can be any language or framework
• You must submit before the deadline (no late entries)
• (optional) Include a link to a demo video along with the submission for extra points

Resources

Supabase resources to get you started

• OpenAI with Edge Functions YouTube video
• Streaming Data in Edge Functions
• Storing OpenAI embeddings in Postgres with pgvector article
• pgvector guide

Community help

The Supabase Team will be taking part in the Hackathon and you’ll find us live to build in our discord all week. Please join us by building in public:

• Text channel: #hackathon
• Audio channel: #hackathon

If you need help or advice when building, find other people to join your team, or if you just want to chill and watch people build, come and join us!

Join our Discord

Launch Week

Don’t forget to check out the new features being announced as part of Launch Week.

• Previous Hackathon Prize Winners

Additional Info

• Any intellectual property developed during the hackathon will belong to the team that developed it. We expect that each team will have an agreement between themselves regarding the IP, but this is not required
• By making a submission you grant Supabase permission to use screenshots, code snippets, and/or links to your project or content of your README on our Twitter, blog, website, email updates, and in the Supabase discord server. Supabase does not make any claims over your IP.

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