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AI Job Mentor for Informal Workers

Author: Sridhar U
College: Panimalar Engineering College (CSE)


Project Overview

AI Job Mentor for Informal Workers is an AI-powered chatbot solution designed to support millions of informal sector workers including daily wage laborers, artisans, gig workers, and the self-employed. The platform leverages IBM Watson technologies and advanced Natural Language Processing (NLP) to deliver personalized job recommendations, identify skill gaps, provide upskilling resources, and inform users about government schemes and opportunities. The chatbot offers 24/7 accessible, vernacular-language support via both web and WhatsApp, helping bridge the opportunity gap in semi-urban and rural communities.


Problem Statement

Many informal workers face significant challenges in accessing job opportunities, skill development programs, and financial resources. Key issues include:

  • Limited awareness of available job openings and government schemes.
  • Lack of digital literacy and absence of personalized guidance.
  • Difficulty finding training and upskilling opportunities relevant to their roles.

AI Job Mentor addresses these gaps by providing an always-available, easy-to-use mentoring platform that empowers informal workers to improve their livelihoods and progress in their careers.


Technologies & Tools

  • IBM Watson Assistant (watsonx Assistant): Core conversational AI engine for natural interactions.
  • Natural Language Processing (NLP): Analyzes and understands user input for accurate responses.
  • Retrieval Augmented Generation (RAG): Delivers precise, up-to-date, and contextual guidance by integrating real-time search with generative AI.
  • IBM Granite Model: Advanced AI model for improved understanding and personalized responses.
  • IBM Watson Natural Language Understanding (NLU): Extracts relevant details and intent from user queries.
  • IBM Watson Discovery: Provides real-time market and job insights.
  • IBM watsonx.ai: Supports scalable AI infrastructure and model management.
  • IBM Cloud Object Storage: Secure storage for user data and resources.
  • Twilio Integration: Enables multi-channel support (including WhatsApp).

Key Features

  • High Accuracy: 95% matching rate between users and appropriate job opportunities based on skills and preferences.
  • Efficient Job Search: 60% reduction in job search time thanks to personalized and instant AI-powered suggestions.
  • Continuous Availability: 24/7 mentorship without the need for human counselors.
  • Market Insights: Real-time labor market guidance and information on relevant job trends.
  • Personalized Upskilling: Identifies individual skill gaps and recommends suitable training programs.
  • User-Friendly Access: Multi-channel support, allowing users to access guidance via web chat or WhatsApp, with plans for regional language expansion and voice interfaces.
  • Interview Preparation: Customized tips, practice questions, and support for user confidence.

Target Users

  • Informal sector job seekers
  • Students exploring career avenues
  • Recent graduates entering the workforce
  • Career changers seeking new opportunities

Typical User Flow

  1. User initiates conversation on web or WhatsApp.
  2. Chatbot understands current occupation, skills, and location preference.
  3. AI suggests personalized job openings and relevant training programs.
  4. Additional support is offered for interview preparation and upskilling.

Project Impact

  • Bridges digital divides for underserved users, enabling informed job seeking and professional growth.
  • Enhances career outcomes by offering tailored suggestions and educational resources.
  • Scalable cloud-based solution suitable for wide implementation across diverse communities.

Future Enhancements

  • Expand support for multiple Indian and regional languages.
  • Add AI-powered resume and cover letter review tools.
  • Introduce advanced analytics dashboards for users to track progress.
  • Enable voice-based interaction with speech recognition technologies.
  • Improve personalization through user feedback and behavioral analytics.

IBM Certifications

  • Getting Started with Artificial Intelligence (IBM SkillsBuild)
  • Lab: Retrieval Augmented Generation with LangChain (IBM SkillsBuild)

Repository

Access the complete project source code and documentation here:
https://github.com/Sridhar-0306/IBM_AI_JOB_MENTOR


Thank you for your interest in this project!
For any further queries or discussion, please contact Sridhar U.

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