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SmartData Collective > Business Intelligence > Artificial Intelligence > AI Projects No Longer Require a Professional Developer’s Touch
Artificial IntelligenceProgramming

AI Projects No Longer Require a Professional Developer’s Touch

Ryan Kade
Ryan Kade
5 Min Read
AI Projects
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What comes to mind when you hear the words “artificial intelligence?” Most of us picture a NASA Skylab space station or a legion of rogue robots from Isaac Asimov’s stories. We rarely stop to realize how common AI is and how it has touched our lives. Yet, many people are working on their own AI projects at home.

Contents
How amateur developers are using AI to change their livesYou Don’t Need to Be a Rocket Scientist to Develop Your Own AI Projects

One of the most inspiring stories comes from Nick D’Aloisio, the 15-year-old founder of Trimmit. Trimmit is an app that uses extraordinary AI capabilities to summarize emails and blog posts. D’Aloisio reportedly develop this app on summer vacation and began asking for $1 million in seed funding the following fall.

Many other AI developers don’t intend to monetize their creations. They build more basic projects that simplify their own lives.

How amateur developers are using AI to change their lives

Before the turn of the century, working on AI projects required some of the most powerful computers in the world. Today, developers have access to powerful AI tools that allow them to develop complex, useful algorithms. While the everyday programmer won’t be able to develop a program that rivals something from the Pentagon, they can still change their own lives in meaningful ways.

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There are a lot of great tools that developers can use to create their own projects. These tools are primarily open source, which opens a lot of doors for amateur AI developers. They include:

  • ai i. Api.ai I is a chatbox API with impressive machine learning abilities. It can detect slight variances in phrases developers build into their algorithms, which offers a lot more flexibility and minimizes hassles most developers run into.
  • Melissa is an AI development platform for developers that are fairly experienced with AI tools. It is equipped with voice control and a wide range of dialogues.
  • TensorFlow is a platform that is owned by Google. It is ideal for developers that are interested in building their own AI projects from scratch. It takes longer to execute, but it is a great platform for technocrats that thrive on challenges and want to develop a unique solution to common problems they encounter.

Here are some interesting projects that amateur AI developers have created recently.

Create Your Own Smart Home Security System

Smart homes have transformed our lives in recent years. Homeowners can purchase security systems such as the Netamo Presence to monitor their homes with AI tools. Truly ambitious developers can create their own smart home security system. Geek.com has a great tutorial for programmers that want to use Raspberry Pi to build their own home security system.

Programming an AI Robot for Entertainment

Amazon Echo made its debut in 2014 and has maintained a 93% satisfaction rating since. However, the functionality is too limited for some users. Developers that want to entertain their kids and guests may want to consider developing and programming their own AI-based robot. You don’t need a sophisticated, expensive toolkit to get started. You can download AI Robot for free and begin programming today.

Create Your Own AI Butler

Were you jealous of the Jetsons for having Rosie the Maid as a robotic servant? You can finally build your own! You can purchase a robotic butler like Meet Cubic – the AI Butler and program it to serve your needs.

You Don’t Need to Be a Rocket Scientist to Develop Your Own AI Projects

A lot of great open-source toolkits have made AI programming easier than ever. There are many great AI projects you can work on from the comfort of your own home. Are you working on any AI projects? Feel free to contact us and share details of your project. We would love to feature them here!

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ByRyan Kade
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Ryan Kade is the editor overseeing contributed content at Smartdata Collective and contributes weekly column.

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