Cognitive Nexus

Multi-Agent Career Intelligence System

Built using LLMs • LangChain • Ollama • AMD AI Compute

📖 Overview

COGNITIVE NEXUS is a Multi-Agent Career Intelligence System built using LLMs, LangChain, Ollama (Qwen) and AMD AI Compute.

The system acts as an autonomous AI career mentor by orchestrating multiple specialized AI agents that work together to analyze resumes, identify technical and soft skills, calculate career readiness, detect skill gaps, recommend personalized learning roadmaps, suggest projects and certifications, prepare interview questions, match job roles, and generate a comprehensive career report.

Unlike traditional resume analyzers, Cognitive Nexus follows an Agentic AI architecture, where each agent is responsible for a dedicated task while collaborating with other agents to deliver intelligent, structured, and personalized end-to-end career guidance.

✨ Key Features

• 📄 Intelligent Resume Parsing
• 🧠 AI-powered Skill Extraction
• 📊 Career Readiness Score
• 🔍 Skill Gap Detection
• 🗺️ Personalized Learning Roadmap
• 💡 AI Project Recommendation
• 🎓 Certification Recommendation
• 📝 Resume Improvement Suggestions
• 🎤 Interview Preparation Agent
• 💼 Job Matching Agent
• 📈 Interactive Visualizations
• 📑 Professional PDF Report Generation
• 🤖 Multi-Agent AI Pipeline
• 💬 AI Career Chat Assistant
• ⚡ Powered by Ollama + Qwen LLM
• 🔒 Local AI Processing for improved privacy

🎯 Problem Statement

Students often struggle to understand how well their resumes align with industry expectations.

They may not know:

• Which skills they are missing for their target role
• Which technologies they should learn next
• Which projects can strengthen their profile
• Which certifications are relevant
• How to improve their resume
• How prepared they are for technical interviews
• Which career opportunities best match their current skills

Traditional resume analyzers generally focus on ATS scoring or resume feedback, but they do not provide a complete and personalized career development strategy.

COGNITIVE NEXUS addresses this problem by using a collaborative Multi-Agent AI system that analyzes resumes, identifies skill gaps, recommends learning resources, projects and certifications, prepares interview questions, and generates a personalized career roadmap.

💡 Our Solution

Cognitive Nexus transforms a simple resume into an intelligent career development plan.

The system follows an end-to-end workflow:

Resume Upload
      ↓
Resume Parsing
      ↓
Skill Extraction
      ↓
Career Readiness Analysis
      ↓
Skill Gap Detection
      ↓
Learning Roadmap
      ↓
Project Recommendations
      ↓
Certification Recommendations
      ↓
Resume Improvement
      ↓
Interview Preparation
      ↓
Job Matching
      ↓
Career Report + Dashboard + AI Chat

🛠 Tech Stack

Category	Technologies
Programming Language	Python
LLM	Qwen
Framework	LangChain
LLM Runtime	Ollama
Notebook Environment	Jupyter Notebook
Data Processing	Pandas, NumPy
Visualization	Matplotlib, Plotly
PDF Processing	PDFPlumber, PyPDF
Report Generation	FPDF, ReportLab
Vector Search	FAISS
AI Platform	AMD AI Compute

🏗️ System Architecture

graph TD
    A[Resume PDF] --> B[Resume Parser Agent]
    B --> C[Skill Extraction Agent]
    C --> D[Career Readiness Agent]
    D --> E[Skill Gap Analysis Agent]

    E --> F[Learning Roadmap Agent]
    E --> G[Project Recommendation Agent]
    E --> H[Certification Recommendation Agent]

    F --> I[Resume Improver Agent]
    G --> I
    H --> I

    I --> J[Interview Preparation Agent]
    J --> K[Job Matching Agent]
    K --> L[Career Report Generator]

    L --> M[Interactive Dashboard]
    M --> N[Cognitive Nexus AI Chat]

    O[Qwen LLM] --> B
    O --> C
    O --> D
    O --> E
    O --> F
    O --> G
    O --> H
    O --> I
    O --> J
    O --> K

    P[LangChain] --> O
    Q[Ollama] --> O
    R[AMD AI Compute] --> Q

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📸 Project Screenshots

🏠 Dashboard

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📄 Resume Analyzer

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🤖 AI Chat

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📈 Placement Progress Analytics

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🧠 Skills Breakdown

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💡 AI Suggestions

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📋 Daily Tasks

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👤 Profile Dashboard

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📄 Resume Parsing Agent

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⚙ Backend Running

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💬 Cognitive Nexus AI Conversation

🚀 Installation

Clone Repository

git clone https://github.com/AnkushRana528/Cognitive-Nexus.git

cd Cognitive-Nexus

Install Dependencies

pip install -r requirements.txt

Start Ollama

ollama serve

Pull the Model

ollama pull qwen3:4b

Launch Jupyter

jupyter notebook

Open

notebooks/00_master_pipeline_(2).ipynb

Run all cells.

👥 Team

Team Lead

Ankush Rana

Team Members

• Ashish Kumar
• Saransh Arora
• Harmandeep Kaur

Institution: Maharishi Markandeshwar (Deemed to be University)