AutoApply AI 🚀

Why I stopped applying manually and built my own AI Agent.

We’ve all been there—applying to 100+ jobs on LinkedIn, Naukri, and Foundit, only to be met with "Ghosting." Despite these massive platforms, I struggled to land even a single interview.

That’s when I realized the problem wasn't the platforms; it was the approach. So, I decided to build my own solution: AutoApply AI.

And it actually worked! While manual applications were failing, my custom AI model started landing me real interviews. 🎯

What makes this model effective? (How it works):

Instead of focusing just on UI/UX, I prioritized the "Intelligence" of the model:

• 🧠 Deep Context Parsing: It understands the essence of projects and seniority, not just generic keywords.
• 📈 Semantic Match Scoring: It calculates a real-time match score by analyzing how your skills meaningfully align with the Job Description.
• 📝 ATS-Friendly Personalization: It drafts unique, high-quality applications for every job to help you stand out in crowded recruiter inboxes.
• 🤖 Autonomous Hunting: It acts as a 24/7 agent, scanning top boards so you’re always the "Early Applicant."

👇 I need your feedback!

I am currently opening this model for Public Testing. If you’re frustrated with your job search, give it a try and let me know in the Comments:

• Did the model help you land an interview call?
• What further improvements or features would you like to see?

🛠️ Future Vision & Freelancing

I’ll continue building automation tools and custom AI models like this. If you need a custom automation tool for your business or workflow, check out my Fiverr profile where I offer specialized AI & Python services.

Let's Connect:

• 🔗 Try the Tool: [Insert Vercel Link]
• 🔗 Fiverr Gigs: [Insert Fiverr Link]
• 🔗 GitHub: [Insert GitHub Link]
• 🔗 LinkedIn: [Insert Profile Link]

Follow me for more updates on my #BuildInPublic journey! 🤖🚀

#AI #JobSearch #Automation #MachineLearning #FiverrSeller #Python #SuccessStory #GeminiAI

---

Run Locally

Prerequisites: Node.js

1. Install dependencies:

   npm install

2. Set the GEMINI_API_KEY in .env.local to your Gemini API key.
3. Run the app:

   npm run dev