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Rico — AI Placement Prep Agent

Интеллектуальный помощник для подготовки к собеседованиям — исследование компаний, оптимизация резюме и персонализированные рекомендации в одном агенте.

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Multi‑Agent Architecture

An intelligent AI-powered system designed to help job seekers prepare for placement interviews and career opportunities through automated research, resume optimization, and personalized guidance.

🧠 ATS Agent

Optimizes resumes for Applicant Tracking Systems — ensuring your application passes automated filters and reaches human recruiters.

🏢 Company Research Agent

Gathers intelligence on target companies: culture, values, recent news, and interview processes.

🎤 Interview Agent

Provides interview preparation and practice with realistic scenarios, feedback, and confidence-building exercises.

📊 Gap Analyzer

Identifies skill gaps and improvement areas by comparing your profile with job requirements.

🗺️ Roadmap Agent

Creates personalized learning and preparation paths tailored to your timeline and target roles.

📝 Resume Agent

Enhances and tailors resumes for specific roles, highlighting relevant experience and keywords.

Core Capabilities

📄 Smart Document Processing

Parse and analyze resumes and job descriptions with intelligent extraction.

🔎 Company Intelligence

Research company culture, requirements, and interview processes.

🧩 Skill Gap Analysis

Identify areas for improvement based on target roles and industry standards.

🛤️ Personalized Roadmaps

Generate custom preparation plans with milestones and resources.

💬 Interactive Chat Interface

Conversational AI for guidance, support, and real-time feedback.

Tech Stack

AI & Orchestration

LangChain with Google Gemini integration, LangGraph for multi‑agent workflows

Data & Retrieval

ChromaDB vector database, custom document parsers for resumes and job descriptions

Backend & Testing

Python with FastAPI‑style architecture, comprehensive test suite

Project Structure

agents/ tools/ models/ tests/ examples/

agents/ — Core AI agents
tools/ — Utility tools for parsing, retrieval
models/ — Data models and schemas
tests/ — Comprehensive test coverage
examples/ — Demo scripts and usage examples

Getting Started

1. Install dependencies

pip install -r requirements.txt

2. Run the main application

python app.py

3. Start interacting

Engage with the placement prep system through the chat interface — ask questions, upload your resume, and get instant guidance.

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