Placementor: Elevate your Interview Game!
Placementor is an intelligent interview preparation platform built to empower candidates with real-time feedback, personalized simulations, and structured readiness—all powered by a suite of specialized AI agents.
Why Placementor?
Developed with a mission to modernize interview prep, Placementor eliminates generic question banks and guesswork. Instead, it creates a personalized interview journey based on your resume, your target role, and your unique learning pace.
Whether you're a fresher or a job switcher, Placementor mimics the pressure and polish of real interviews to boost your confidence—one response at a time.
Our Agent-Driven Approach
Placementor is powered by four specialized AI agents that collaborate seamlessly:
✅ Resume Parser: Parses your uploaded resume to extract structured data—skills, experience, projects — forming the foundation of a tailored interview plan.
✅ Interview Planner: Generates role-specific, company-relevant questions across multiple difficulty levels using the Agno + Gemini framework. No fluff, just sharp simulations.
✅ Question Fetcher: Ensures questions are fetched in order, based on your selected round and flow—maintaining consistency in your prep journey.
✅ Feedback Agent: Evaluates your spoken answers using speech recognition and Gemini-powered prompts. It scores, critiques, and even tells you when to retry.
How Placementor Works
1️⃣ Upload Resume → Your PDF resume is parsed for relevant info.
2️⃣ Select Interview Parameters → Choose the company, role, and round.
3️⃣ Start the Mock Interview → Speak your answers using the mic.
4️⃣ Get Real-Time Feedback → Receive scores, corrections, and improvement tips.
5️⃣ Iterate & Improve → Retry tricky questions and sharpen your responses.
Key Features
Resume Upload and Parsing
AI-Powered Interview Generation
Voice-Based Answering with Feedback
Repeat Recommendations & Corrected Answers
Scoring Mechanism from 1–10
JSON-structured Agent Communication
Built With
Frontend: React.js, Tailwind CSS
Backend: Flask (Python), REST APIs
AI/NLP: Agno Framework, Gemini Model, SpeechRecognition
Data Handling: JSON
Version Control: Git
Vision
To make mock interviews feel real, intelligent, and adaptive—because great candidates deserve better prep than recycled questions and static forms.
