Using Google AI Studio’s build feature, you can build any frontend application by giving a prompt. The Build feature in AI Studio generates applications that use the Gemini SDK without any server-side components. The apps run in a sandboxed frame. For this post, you will create a tech resume reviewer that will score your resume out of 100 against a given job description. Let’s get started!
Table of Contents #
- Google AI Studio
- Steps to build a resume reviewer with Google AI Studio
- Video
- Resume reviewer Gemini Gem
- Conclusion
Google AI Studio #
As Google defines it:
Google AI Studio is the fastest way to start building with Gemini, our next generation family of multimodal generative AI models.
In short, it is an application that turns a prompt into an application prototype in minutes. It is a playground where you can test out your ideas, build apps, and even use the latest Gemini feature, like the live feature to share your screen or camera video, and ask questions about it. You can also build multimodal apps that can take an image or a video as input and generate images as output. There are lots of possibilities.
For the scope of this blog post, you will focus on the “Build” feature of Google AI Studio and generate a text input to text output application that takes in your tech resume and a job description, analyzes both, and gives your resume a score out of 100 against the job description. It also provides specific guidance on writing your position description using the XYZ formula to achieve the best results. You will build your own tech resume reviewer next.
Steps to build a resume reviewer with Google AI Studio #
To build a tech resume reviewer using the Google AI Studio’s Build feature. You will first need to go to the Google AI Studio app:
Go to Google AI Studio #
You can go to the Google AI Studio app by visiting https://aistudio.google.com/ on your favourite browser. For this blog post, I am using Chrome with my Google account signed in. It will look like the following when you open Google AI Studio on your browser:
Next, you will navigate to the build section of Google AI Studio.
Navigate to Build #
To go to the Build feature of Google AI Studio, you can click the Build menu item on the left navigation, as seen below:
From there, you can give a prompt for the type of app you want Gemini to build, which is in the next section.
Input the intelligent resume reviewer prompt #
As you want to build an intelligent tech resume reviewer, you will use the prompt given below:
Build me an intelligent resume reviewer that analyses a resume against a job
description, providing actionable feedback and suggestions based on the
proven XYZ formula to help you stand out. Both the resume and the job
description are also uploaded as text.
Please take note of the following things when reviewing the resume:
1. The primary purpose of the resume is to get the initial call or
email from the tech recruiter, who is a non-technical person
2. Please make the resume appeal equally to the engineering manager
and other technical leaders who will take the interviews in later rounds.
3. Keep yourself in the position of the resume receiver and frame the
bullet points in a way to accentuate how the candidate can add value
to the organisation
Technically, please do the following:
1. While uploading, show messages like "Parsing objective",
"Analysing job descriptions", "Creating a personalised review",
and similar messages. Please show the same message exactly once
2. Show a percentage score of what the resume currently scores
against 100, and things that can be improved in categories
like objective, job description, side projects, formatting, and
use of language, etc
3. Show all the suggestions for each category nicely presented
in a foldable bullet point list per category, highlighting the
things to change per sentence.
As a baseline, always use Australian English spellings for
all the suggestions.
Let’s quickly analyze the prompt:
- The prompt is divided into three parts. The first part tells the model what kind of app it needs to build
- The second part adds some more information about how to review the resume from both a technical and a non-technical point of view
- The third part provides some technical guidelines, like scoring, providing suggestions, and using Australian English
You can edit the prompt if you like, or just paste the prompt on Google AI Studio Build feature as seen below:
After that, click the Build button on the form. Then you will need to wait for the app to be built. It will take 1-2 minutes it will show something as follows when it is creating the app:
You can follow the progress on the left-hand side, the Code assistant panel or even click the “Code” button on the right side to see the generated code as follows:
Once it is done, it will load the Preview tab and may look something like the below:
Next, let's test the app in preview mode.
Use the built app in preview mode #
To test the generated app, you will need a resume. For that, we will use a sample frontend engineer resume in text format. As the sample Frontend engineer role, we will use this mid-level Frontend Engineer Role at Lorikeet AI in text format.
When you paste both the resume and the job vacancy text in the app, it looks like the following:
After that, you can click the Review My Resume button, which will take some time to review the resume against the job description:
After a few seconds, it will give its analysis, something like the following:
Hurray! Your AI-powered tech resume reviewer is working. Now, if you want to share it with your friends, you can deploy it on Google Cloud Run. How to do it is discussed next.
Deploy the app on Google Cloud Run #
To deploy your app, you will need a functioning Google Cloud Platform account. You can create a new project on a Google Cloud Platform account:
Put in the name as resume-reviewer and then click the Create button. It will take a few seconds, and the project will be created associated with your selected billing account:
Then head back to Google AI Studio, you can click the Deploy App button on the top right, which looks like a rocket 🚀:
In the drop-down, select Import Project:
In the right sidebar, search for resume reviewer and choose the project you have just created, and click Import:
After that, select the resume-reviwer project in the drop-down of the overlay to deploy your app to Google Cloud Run in that resume-reviewer project:
After the project (and billing) is verified, you can click the Deploy app button to deploy your intelligent tech resume reviewer app to Cloud Run:
It will take some time (up to a couple of minutes) for Google AI Studio to deploy the app, and then it will give you a URL to view your app running on Google Cloud Run:
Then you can click View app to see the app running on Google Cloud Run. You can share the URL with anyone, and they will be able to view and test the tech resume reviewer you generated:
You have successfully built and deployed your own intelligent tech resume reviewer using Google AI Studio in minutes without writing any server code! You can test it out on your favourite browser:
You can close the overlay and edit the app with another prompt if you like. If you want to use the app as a chat, you can use the Resume reviewer Gemini Gem as discussed next.
Video #
I have recorded a video of generating the whole app and testing it in preview (not the deployment part). You can watch the 6-minute video below:
Resume reviewer Gemini Gem #
If you don’t want to build an app and still use the resume reviewer, I have created a Gemini Gem for Resume reviewer, just click the link and use it:
That is another way to use the prompt without creating a custom application.
Conclusion #
This post demonstrated using Google AI Studio's Build feature to quickly prototype and deploy an intelligent tech resume reviewer without complex server code. You covered exploring AI Studio and its Build feature, crafting a detailed prompt for functionality (job description analysis, 100-point scoring, XYZ feedback), generating and testing the application, and finally deploying it to Google Cloud Run for a shareable URL.
You also noted the pre-built Gemini Gem as an alternative. This process showcases the rapid, custom tool development possible with Google AI Studio and the Gemini SDK.
Keep learning and keep exploring!