AI Recruitment Assistant

Inspiration

Recruiting today is still painfully inefficient — recruiters spend hours replying to repetitive candidate messages like:

“Is this position remote?”
“What’s the company culture like?”
“Where should I send my resume?”

Meanwhile, many qualified candidates drop off because communication is too slow or unclear.
We wanted to fix that — to make recruiting more human, yet less manual — using the power of Chrome’s built-in AI and Doubao’s prompt intelligence.

What it does

AI Recruitment Assistant is a Chrome extension that automates conversations between job seekers and recruiters on platforms such as Boss Zhipin.
It can:

• 🤖 Automatically respond to candidates’ questions using contextual understanding
  
• 📄 Guide candidates to submit resumes through proper channels
  
• 🎯 Filter and rank candidates based on conversation quality and skill relevance
  
• 💬 Maintain a human-like, personalized tone while saving recruiters’ time
  

Ultimately, it helps both sides connect faster and smarter — from “hello” to “hired.”

How we built it

We built the project using JavaScript and Chrome’s built-in AI Prompt API, combined with Doubao API for advanced prompt optimization and context management.

Key components:

• 🧩 Frontend: JavaScript-based Chrome extension with a popup UI for HR configuration
  
• ⚙️ AI Engine: Doubao Prompt API for semantic parsing, Q&A generation, and candidate intent recognition
  
• 💾 Storage: Chrome local storage to manage HR preferences and conversation logs
  

Challenges we ran into

• Context persistence: Maintaining dialogue state across multiple browser tabs and sessions.
  
• Prompt tuning: Balancing accuracy and warmth in auto-replies. Some candidates dropped off when responses felt “too robotic.”
  
• API integration: Handling async Doubao API calls with Chrome’s background scripts required careful promise management.
  
• Ethical filtering: Ensuring no biased or sensitive data is used during automated screening.
  

Accomplishments that we're proud of

• Built a fully functional AI recruiting prototype directly inside the browser.
  
• Achieved a 60%+ reduction in recruiter response time during internal tests.
  
• Designed prompts that generate context-aware, natural-sounding replies.
  
• Created a lightweight, privacy-conscious architecture — all data stays on the client side.
  

What we learned

• How to orchestrate multiple AI APIs (Chrome built-in + Doubao) effectively in a browser environment.
  
• The importance of prompt engineering and human-centered design in AI UX.
  
• That automation should augment, not replace, human recruiters — the best results came when AI acted as a smart assistant, not a replacement.
  

What's next for AI Recruitment Assistant

• 🧭 Integrate LLM-based candidate scoring to rank applicants automatically.
  
• 🪄 Add a voice mode for spoken Q&A with candidates.
  
• 🌐 Expand beyond recruitment — apply the same conversation automation framework to customer support and sales onboarding.
  
• 🔐 Strengthen privacy and bias detection mechanisms.
  

Built With

• js/doubao