SMART INDIA HACKATHON 2025
TITLE PAGE
• Problem Statement ID – 25034
• Problem Statement Title-Al-Based Internship
Recommendation Engine for PM Internship Scheme
• Theme- Smart Education
• PS Category- Software
• Team ID-
• Team Name- UDDHARAK
Uddharak AI Based Internship Recommendation Engine
for PM Internship Scheme
Proposed Solution:- AI Intern Match transforms the PM Internship Scheme into an intelligent, personalized matching
platform that revolutionizes how candidates discover and secure internship opportunities.
Key Innovation Points:
• Hybrid AI Algorithm: Combines content-based filtering, collaborative filtering, and TF-IDF analysis for superior
matching accuracy
• Smart Profile Analysis: NLP-powered resume parsing automatically extracts skills, qualifications, and career interests
• Real-time Matching: Instant recommendations delivered within 23 seconds of profile submission
• Mobile-First Design: Responsive interface optimized for smartphone usage across rural and urban areas
• Multi-language Support: Regional language compatibility ensuring inclusive access for diverse candidate
Core Functionality:
• Automated skill identification from resumes and manual inputs
• Intelligent location-based internship filtering with proximity scoring
• Advanced sector preference matching across 20+ industries
• Interactive recommendation cards with comprehensive internship details
@SIH Idea submission 2
Uddharak TECHNICAL APPROACH
Web interface
Technology Stack:
Resume Upload
Backend:
• Python with Flask/FastAPI
• Scikit-learn
Registration
Collaborative
Filtering
• Pandas & NumPy
• NLTK/spaCy
Frontend:
Feature Preference
• HTML5/CSS3/JavaScript
Skills Analysis
Extraction Learning
• Progressive App PWA
• React.js
Machine Learning Pipeline
Infrastructure:
User Profile
Internship
Database
• PostgreSQL for structured data storage
• Redis for high-speed caching and session management
• AWS cloud
@SIH Idea submission 3
Uddharak FEASIBILITY AND VIABILITY
Technical Feasibility
• Lightweight → works on low bandwidth & budget.
• Scalable → can plug into PM Internship portal.
• Multilingual UI → inclusive for rural candidates.
Viability
• Low digital literacy → Icon-based UI + swipe design.
• No skill awareness → Add “aspiration first” approach.
• Data availability → Dataset will be made using Web Scraping.
• Internet issues → Offline mode (cached JSON dataset).
@SIH Idea submission 4
Uddharak IMPACT AND BENEFITS
1. Potential impact:
• Students - Easier access to internships with personalized recommendations and clear career guidance.
• Organizations - Better role–intern fit, saving effort in screening and reducing dropout rates.
• Government - Strengthens digital governance with an AI-driven platform for large-scale youth
engagement.
• Society - Bridges the gap between education and industry, improving employability and reducing youth
unemployment.
2. Benefits:
• Social Benefits - Expands equal access to internships, especially empowering rural and underprivileged
students.
• Economic Benefits - Organizations can save up to 50% of time and cost in screening candidates through
better role–intern matching.
• Educational Benefits - Provides career guidance and skill-gap analysis to improve long-term
employability.
• Governance Benefits - A scalable AI-driven platform ensures transparency and efficiency in internship
allocation, improving processes by around 40%.
@SIH Idea submission 5
Uddharak RESEARCH AND REFERENCES
• Stanford NLP Group - TFIDF Document Similarity Research
• PM Internship Scheme Official Statistics 2025
• NSDL Annual Report 2024-25
• https://github.com/BrianTruong23/job_recommendation
• https://www.geeksforgeeks.org/machine-learning/what-are-recommender-systems/
• https://www.indeed.com/q-natural-language-processing-intern-jobs.html
• https://developer.mozilla.org/en-
US/docs/Learn_web_development/Core/CSS_layout/Responsive_Design
• https://acropolium.com/blog/build-scalable-web-app-from-scratch
• https://www.linkedin.com/pulse/high-level-design-real-time-recommendation-systems-
streaming-rout ayhtc
• https://in.indeed.com/q-ui-ux-design-internship-jobs.html
@SIH Idea submission 6
