Smart India Hackathon 2022
Project Name: ProfessionPro
Event: Smart India Hackathon (SIH) 2022
Problem Statement Code: DR710
Theme: Smart Education
Team Name: ProSol
Team Members:
- Harsh Loomba (Team Leader)
- Arkadeep Acharya
- Ashutosh Kumar Singh
- Asmit Ganguly
- Harshit Dhankhar
- Seema Meena
Mentor: Mayank Agarwal (ML Domain Expertise)
Institute: Indian Institute of Technology Patna
Result: Runner-up among 1 lakh+ participating teams
Location: Vishakapatnam
In the rapidly changing job market, it can be challenging for job seekers to find career paths aligned with their skills and market demands. The aim of the project was to develop an AI-powered web portal that processes an individual's resume to suggest potential career paths. We achieved this using Natural Language Processing (NLP) techniques for resume parsing and machine learning models to predict the most suitable career options based on job trends and personal skills.
Objective: To help job seekers (especially the unemployed youth in their early 20s) identify relevant job domains and ease the job search process by integrating career suggestions with the National Job Database.
We utilized basic Nuance-based Splitting along with the Natural Language Toolkit (NLTK) library to extract key details from the resumes provided by users. This process helped identify critical information, such as:
- Educational background
- Skills and certifications
- Work experience
Using text-cleaning techniques such as stopword removal, tokenization, and word frequency analysis, we extracted meaningful insights from the resumes. The extracted data was further processed to suggest career paths.
The resumes were categorized into different job domains, such as Data Science, Java Development, Web Design, HR, and others. We trained machine learning models like K-Nearest Neighbors (KNN) and Naive Bayes to classify resumes into these predefined categories based on the skills and experience mentioned.
By analyzing past employment trends and market demand (sourced from national job databases), we developed a Career Dendrogram, which acted as a decision tree to guide users toward the most suitable career paths.
- The ML framework was built using Python and integrated with the job database.
- A backend developed using Django handled the processing, while the MySQL database stored user profiles, resumes, and job opportunities.
For individuals without a resume or those unsure about their career goals, we designed a skills and interests quiz. The quiz results were processed using machine learning models to suggest the best career paths based on individual preferences.
The ProfessionPro Web Portal had an interactive UI built using HTML5, CSS3, and JavaScript, allowing users to easily upload their resumes or complete the career quiz. The portal displayed career suggestions based on the user's data and national job trends.
In the future, our goal is to integrate real-time job opportunities from the National Job Database into ProfessionPro. This will enable users to directly search for and apply to jobs relevant to their skills and career suggestions, streamlining the job-seeking process for unemployed individuals across India.
- Frontend: HTML5, CSS3, JavaScript
- Backend: Django (Python-based)
- Database: MySQL
- NLP: NLTK (for resume parsing and text cleaning)
- Machine Learning Models:
- K-Nearest Neighbors (KNN)
- Naive Bayes
- One-vs-Rest Classifier
- Visualization: Seaborn, Matplotlib (for data visualization and career trends analysis)
- Automated Resume Parsing: Uses NLP to analyze resumes and extract relevant career details.
- Career Suggestions: Based on skillsets, experience, and market demand, the portal provides users with the most promising career paths.
- Quiz for Career Guidance: An interactive quiz helps users with no prior experience discover potential job domains.
- User-Centered Design: Easy-to-use interface for both resume upload and quiz completion.
- Real-Time Job Market Trends: The platform is designed to integrate job market trends from national databases to provide up-to-date career suggestions.
- Runner-up among 1 lakh+ participating teams at Smart India Hackathon 2022.
- Successfully demonstrated how AI can be used to bridge the gap between job seekers and employers by providing personalized career guidance.
- Recognized for the potential to significantly ease the job search process for unemployed individuals in India, especially in their early 20s.
- Full Integration with the National Job Database: By leveraging government and private-sector job databases, we aim to provide real-time job suggestions and opportunities tailored to each user.
- Advanced NLP and AI Models: Improving resume parsing accuracy by integrating more sophisticated NLP techniques and deep learning models.
- Mobile App Version: Developing a mobile-friendly version of ProfessionPro to make career guidance more accessible.
- Real-time Job Matching: Automatically suggesting job opportunities to users as soon as they upload their resumes, based on current market trends.
ProfessionPro offers a streamlined, AI-powered career guidance system that can significantly aid unemployed individuals in finding their ideal job paths, reducing the gap between skillsets and job opportunities.