I Built an AI Job Search Assistant That Actually Works! 🚀

0:00These days, job searching has become a full-time job. How? Analyzing resumes, matching skill sets to job descriptions, and then preparing for interviews. But it's the time of AI. Agents have arrived. If we can use them to solve this problem on our own, we can at least save time. So today we're going to explore this in detail. The things I'll explain are very easy to follow step by step, and you can do it yourself. So today we'll build a job search assistant using minimax code , creating just a blank application. We 'll run it, test it, and improve it. Before building the application, it's a must. First, like this video. Be sure to comment, and

0:39after watching the entire video, be sure to subscribe along with the bell icon. So, let's get started. Let's build something interesting today. As you can see on the screen, our AI job assistant search will be there, basically what will happen here is you are the user, you will have a resume, we will have a feature called Resume Analyzer which will analyze the skills, the improvements, the shortcomings in your resume based on your experience, this feature will tell you when we work in a company, so we work on different features in this way, nowadays there is AI brother, if we want to increase our productivity 10x, then these AI tool agents

1:09help us a lot in those things, so first we will create a feature, then we will create a second feature, then we will create a third feature, now what is the second feature, GD match job description match compare resume with job description and find matching missing skills, this will tell us, this feature will tell us, but behind the agent will be doing this work for us, right real engineering is needed, so even today we will get the complete code, we will get it from here, validate it, understand it, your engineering is needed there, after that the next feature guys is interview preparation generate role Specific technical interview questions will then

1:39arise, and you'll prepare accordingly . Now, what will the overall flow be? Since this is a web application, the front end will have React, TypeScript, and Telwin CSS . Why am I mentioning these things? Because they help me prepare . And on the back end, we'll have Notes JS Express. We're going to achieve this

1:52with the help of Minimax code. Let's open it. So, here's their documentation. Let's go to Get Started and download it. The good thing is that it's available for both Windows and Mac. So, you can download it for both machines . If I have a Mac, I'll download it. I can also use the web version if I want. But we also have a desktop app, which we can install and work on. So, the installation is underway. We

2:17'll explore the Minimax code and, with the help of an AI agent, will be building and modifying the application. Okay, so let's get started. It's downloaded. We 'll quickly install it. We'll quickly add it to the application. It's installed. Now let's go to our application and find the minimax code here . Yes, here it is. So we've installed the desktop app. You can also do it on the web if you want. No problem. You can do it on the web too. Now you simply sign in. It's completely on you. Okay? So let's close it and

2:51open the application. Here we'll sign in with our account. After signing in, let's go. I'll take this ID. So that's it . We'll authorize it here. The authorization is confirmed. Now I can use it. So we'll get an interface like this. Now, whatever I want to create, I'll provide the prompt, and the agent will create the application for me. We'll go feature by feature, as I told you. We'll work first on Resume Analyzer, then JD Match, then Interview Preparation. Okay? So let's do one thing. First, we'll click on Select Folder and create a new folder on our machine. Okay? Let's create our machine. We'll name it,

3:31and your machine will also create an application. AI Job Search Assistant. Okay? It's created. Let's select it. Now, whatever I promise, whatever work I need to do, my entire application will be created within this folder. The front end and back end will all be created. Okay? So, all good. And here, we 'll select the model M3.1 Flash. Okay. Now, let's say I'm a Rake developer, or so. Now,

3:54let's say I get a job description for a senior front end developer. You're in any role. You get a job description. What's the first thing you'll do? Analyze your resume. Right? Like we're about to create, you 'll analyze your resume and check if there are any shortcomings. Then, look for keywords and skills in the job description, whether they're on your resume or not. You'll do this manually. Now that you have your own tool, you can do it easily. Then, you'll find related interview questions. Right? Right? So, that's what we're going to do. Using MiniMax Code , we've created our folder. We've also selected the model. And here, we'll

4:21provide a prompt for what first? For the resume analyzer. Right? So, here I 'll paste a prompt. Build a resume analyzer using React TypeScript and Tailwind CSS. Create a modern, dark dashboard that allows users to paste resume text. Users can use a real AI API to identify skills, strengths, and improvements. Keep the API secure, add loading and error status, and run the app locally. We've provided a prompt in such simple English. There's no paragraph. I

4:44can add one more element if I want. Keep the implementation simple, very variant. We'll press enter here. Okay? Let's cross it out. Now, look what it's doing here. The application is ready to be created. Look here on the left. I'll take you to the folder and show you the code at the end. You'll have the complete code, both front end and back end. And if you want, you

5:05can make changes to it as per your requirement. Okay? With AI, you can use AI. You can make changes as per your requirement. If you have real engineering, if you have real software engineering. Okay? So, let's build it. So look, the Minix agent is executing all these steps to build our first feature. Empty workspace, note 20 ready, dependencies are in now the AI ​​back and back and done, you can see here, the folders have also been created. We created this project AI Job Search Assistant in the system, see, this is what happens when we build the application. The entire structure is created. And you can see this

5:38guys. Finally, we can see the output. It's ready, guys. If I tweak it a little bit, look, it's completely ready. The UI renders correctly. Let me test the interaction load sample. Look, it's added the sample itself. It's added the Front End Development Engineer ID. It's added the summary. This way, you can add it. And you've added your experience. You can copy and paste it completely. Now, it's also giving a score. Look, it's giving an overall score. It

5:59identifies skills, strengths, and improvements. You can adjust your resume accordingly. Basically, this is a feature here . We'll build the next feature now. We'll add it to this. So, you understand what's happened here? This agent has done all the work for you. These are basically all the actions the agent has taken, and after that,

6:19it has created this output. So, in this way, you can connect your productivity. You can speed up your work. Now, let's do one thing in this. I'll give you another prompt. Now, what's our next requirement? Our next requirement is a JD match. Very variant. So, let's give you a prompt for that. Here, I 'll give you a prompt to add a new feature: Add a JD matcher to the existing app. We already have this app. We already have one feature in it. We're adding another feature : Allow users to paste job descriptions. Now, if you have a job description, you can paste it. Compare it with your resume using

6:49the one you already have. Show matching skills and missing skills. The simpler you keep the prompts, the better. Estimated match score and suggestions. Use existing code and this. Keep the resume analyzer working. That should also work. That's all the prompt we need to add because that 's the requirement. Let's give you the prompt.

7:08Now our second feature is getting ready. The first feature is very good. It's already absolutely first-class. If you want, you can see it running on a particular port here. You can run it on a browser if you want. Guys, look at this. And if I copy the resume, you know the details, and paste it here and analyze it . Look, it's absolutely great, you can check it like this. You see, it's a completely great first class, so yours is running perfectly. Now let's go back. Let's see, our second feature is getting ready. Now, there's one thing here. You just prompted

7:42After a good prompt, we built the application. Now, you have the entire code. I'll open it in VS Code and show you. Now, you should know that there's a front end and a back end, which is actually real engineering, software engineering. On top of this, you can add new things and work using AI . Because company expectations are changing. So, this was a use case that's better for you. You can also use it for your personal development . You can use the MiniMax code there and get the work done using that agent . Okay, guys, look at this. We have another feature, JD Matcher. Resume Analyzer. And look, because the existing app

8:16was already built, even the resume analyzer. All these actions happened because changes had to be made within the existing code, so we refactored it. He took all these actions. Look, we've updated the mock provider. The endpoint works, validated it completely, and your endpoint is ready. Now, if I go here, let's do one thing.

8:32Let's check it out in the browser. Look, the GD match has already arrived here. Let's refresh it. So, if I show you a sample here, we have it. As soon as we click on the sample, and it also tells us what this feature does, what does the resume analyzer basically do? Paste your resume on the left. Hit "Analyze Resume," and you'll get

8:45the score: skills that were detected, what you do well, and exactly what to fix. Skills: Detected Strengths: Actionable Fixes. Now, should I analyze this? Okay ? Okay? The score is 84. Now, let's enter a job description here. One second. This is for Lead Software Engineer. Okay? So, let's enter the primary skill here, this one. Okay? I'm knowingly entering it. Let's see

9:08if our tool is working properly. Paste it here. Compare your resume. Now that's a strong fit for a staff front-end engineer role. You already cover Core, Stack, React, TypeScript, and NecJS. See? It's all matching. What's missing? This is missing. AWS is missing. He explained everything. You see how interesting it is, guys? So it's done in one place. And this is the advantage

9:32of Agentic AI. When we get the agent to do the work. That was our second feature. Now the next feature we need to add is interview preparation. So let's give a prompt for that as well and then complete this application. Then we'll run it completely and I'll show you the code. Okay? So let's add the third feature. So I'll add my prompt. Add AI Interview Preparation. Within the existing resume, the generated technical interview questions were analyzed and the JD's resume matched. Now, I'll get interview questions based on pasting the job description and grouping questions by difficulty. Reuse the existing AI integration and UI. Preserve previous features. It

10:14will work exactly as you explain. This is in your hands. Humans are required. So, here we go, submit, and add our third feature. There's no need to be afraid of AI. Use it as smartly as you can, and ship as quickly as you can. But you should understand the basics. That's very important these days. The booking process has started. We're compiling the existing code and

10:35then adding our third feature. Our third feature, Interview Prep, has been created. Everything here is complete: the server, the route, and the client API. The interview question component has been created. You can read everything. All the actions have been submitted, and our application is completely ready. So, let's do one thing. Let's test it first. I'm very excited. So, this is our sample resume. You can enter yours, and then if I scroll down and analyze, I'll get a score of 84. And I can make changes to my resume based on my strengths and improvements . You can do it too. I already have the job description for JD Match

11:08. Let's use that here. Suppose it is written here that whatever job description you have, of whichever company it is, here you can see how much it matches with your resume, you will get the score, you will get the matching skills, you can skill on the ones which are missing, now whatever we had entered in JD Matcher has come here also, see now here I will generate questions, let's see, yes look, guys three easy seven medium There are five hard questions and it has created 15 questions. Look, it has made them easy and medium here and based on that, you

11:39can get a good idea. Basically, what problem did we try to solve here? Our resume was a job description. We keep applying indiscriminately. We can avoid that and can also upskill ourselves on the things that are missing. We are getting interview questions anyway. So, we developed three features. So, our entire end-to-end flow is ready. Today, we built an application using MinCode AI Agent, where we created features like Resume Analyzer, JD Match, and Interview Preparation. Not only this,

12:02we added a new feature in the existing application. First, we created Resume Analyzer. We added it inside it. We did not create it separately, we integrated it within the same application. The main interesting thing was to understand each and every development workflow created with the AI ​​Agent. Step, but I'll still say that AI is making our work easier. Agents are making our work easier and increasing our productivity. But the React script text used here is a

12:25complete repo. Let's do one thing: open this repo. You should know those things, only then will you understand. For example, let's go, here's our app. Look, guys, the entire app is ready. Look at this, guys, the server AI file is completely ready. You can see the entire SRC component here. You can see our three main components here. You can understand each component. Very simple. Now, all the code is given to you here. You can understand the data, and based on your real engineering skills, you can see if you've created something wrong. Is everything okay? Your involvement is definitely needed there. So, guys, our application is ready. You can see all three features. We even

13:00tried using them. Let me tell you about another interesting capability of theirs. Which is plus. Let 's click on it. Mini App. Now what is this Mini App? This is a very interesting feature of theirs. Let me show you. Let's do one thing. Go to a new task and here I will use a skill called their Mini App Creator. So basically what do you have to do here? You simply have to give your idea. And from here, the session you give your idea will be ready as a complete end-to-end session. Now, let's give you an example. Let's select a folder. Add a new project. I will add a mini app in it. Let's name it Mini App. So let's create it. Select it

13:32. We are already in the folder. We have also selected the scale. Which is Mini App Creator and I will enter my prom. Use a mini app creator to scale to build a mini-max mini app called Resume. We're building on the same mini app we created, but through the mini app, we've listed some important elements and mentioned our features. Here's a clean, modern, responsive, professional interface without emojis. All set, guys. We've selected the folder and added the skills. Now, let's click here. It will create an end-to-end application for us, as you see here. I'll start by loading the mini app creator skill to understand the wired workflow and native capabilities. Then, it will

14:07start working. Whatever idea you have, simply use this mini app creator skill and enter your requirements here. Enter the requirements in simple English, and your session will be ready. Now, guys, as we've listed here, our main features are PDF resume upload and text extraction. Now, look, it's performing all these actions. And look here, let me test the PDF extractor against Real PDF. Real PDF is ready. You'll see your actions as you progress . Here we've provided some things. Don't ask for Open AI's main features . Design: Clean and modern, responsive, professional interface without emoji. Specifically, we've mentioned Native Minix for building a mini app, not a

14:40standalone React Web website. So, it's working accordingly. Let's see what the output is. In short, it can completely transform any idea you have into a working app. So, guys, our app is currently being built. But let me show you one more thing. As soon as you click on the side panel in the corner, you can see these options. Here is the mini app. Here are some more things. It's not coming right now. But as soon as our app is ready, you'll see it here,

15:02and from here we'll build our mini app. So, let's close this one too. Let's let the app build for now. Then we'll build it. Guys, look at this. Our app is ready. We did a simple prep. And you can see we had a version called this one, which we just saw and understood. One version we have is this one. Here we have a resume upload feature. We can also enter resume text and job descriptions, and analyze our resume. So, for example, let's say I have a resume text here, in which I've listed my experience and everything, and here I'll enter the job description and show it to you. And this is the job description. Let's analyze it. So you

15:36can see this matches 45. That means, based on the text I've provided, the score they're asking for is 45. The main matching skills are missing skills. We did the same thing in the previous project, and in the app we created using the mini app, you can see that everything is included. This way, you can create a tool through a mini app. We simply used a skill file in the mini app creator and created an application. At least on a personal level, we can check

15:59what's missing from my resume and fill those gaps based on that. Now, look, here you can see the red: I can stop it completely, or this app is running in the mini app's environment. You can see it's in working condition. You can also add your resume from here. Both the job description and features are working perfectly here. Okay, sir. The AI ​​will write the code for you. But the AI ​​won't take ownership responsibility. You'll have to take that responsibility yourself. Okay? If you're clear on the requirements and understand things end-to-end, then you should use Agent Bindass. So, guys, try the Minimax code for free. You can claim daily check-in points. Here, you

16:28see the daily check-in. You'll see 400 daily, like, 400. You'll be earning these credits daily, which will help you build applications with the official M3.1 Flash model, including video projects with H3 and H3 Max. I hope this video has taught you a lot and given you a mindset about how you can improve your productivity using AI.

16:46I'll provide a link to the Minimax code in the description and pin it in the comments. You can check it out and explore it. Until then, like, share , comment on this video. If you're new, be sure to subscribe along with the bell icon. Keep learning, keep building. Take care, guys.