Team: Ai-migos (Team ID: 88246) | Role: Team Leader | Status: SIH 2025 Finalist
Organizations and individuals lack a structured, data-driven system for personal and professional development. Existing tools are generic, manual, and disconnected from actual skill gaps or career trajectories — leading to ineffective training, poor succession planning, and stagnant growth.
AiDWISE (AI-Driven Workforce Intelligence & Skill Enhancement) is a dual-platform intelligent recommendation system that serves two distinct markets:
- For Individuals — generates hyper-personalized Individual Development Plans (IDPs) based on current skills, career goals, and experience level.
- For Enterprises — provides strategic talent management, succession planning, and team readiness analytics for HR leaders and managers.
| Feature | Description |
|---|---|
| Skill Gap Scorecard | AI compares current competency scores against target role requirements |
| 3-Phase IDP Generation | Structured, actionable development plan auto-generated from assessment |
| Wise Friend AI Coach | LLM-powered conversational assistant providing contextual career guidance |
| Progress Dashboard | Gamified visual tracker for tasks, milestones, and skill development |
| Targeted Recommendations | Custom course, project, and mentorship suggestions to close skill gaps |
| Feature | Description |
|---|---|
| Talent Pool Management | Define roles, set competency requirements, assign employees |
| Succession Planning | Set target dates, track pipeline strength and readiness scores |
| Executive Summary | AI-generated report highlighting org-level risks and recommended successors |
| ML Readiness Scoring | Predictive models for employee growth, potential, and risk of exit |
| HRIS / LMS Integration | Secure API sync with existing HR and learning management systems |
┌─────────────────────────────────────────────┐
│ PUBLIC PLATFORM │
│ Self-assessment → AI Analysis → IDP Report │
└──────────────────┬──────────────────────────┘
│ Strict data separation
┌──────────────────▼──────────────────────────┐
│ ENTERPRISE PLATFORM │
│ HRIS Data → Intelligence Core → Dashboards │
└─────────────────────────────────────────────┘
Intelligence Core Pipeline:
HR / Self-Assessment Data
↓
Skill Gap Quantification (similarity metrics)
↓
ML Models (Growth, Potential, Risk, Readiness)
↓
IDP & Recommendation Engine
↓
Role-based Dashboards + LLM Coach
| Layer | Technology |
|---|---|
| Frontend | React, HTML, CSS |
| Backend / AI Core | Python |
| ML Models | Scikit-learn, similarity metrics, readiness scoring |
| LLM Integration | Cloud LLM API (Wise Friend coach) |
| APIs | REST APIs, HRIS/LMS integration |
| Security | Zero-Trust Architecture, tokenized PII, isolated databases |
| Deployment | Cloud APIs |
- Zero-Trust Architecture — public and enterprise databases are strictly isolated; no cross-communication
- Tokenized PII — all personally identifiable information is tokenized at ingestion
- One-way HRIS API access — HR data flows in; no proprietary data is exposed outward
- Role-based access — employees see skill gaps; managers see team readiness and talent pools
- Automates creation of personalized development plans — saves hours of manual HR work
- Reduces guesswork in career planning for individuals
- Enables data-driven succession decisions for organizations
- Scalable to thousands of simultaneous users with minimal manual input
- Integrates with existing enterprise tools — no large-scale migration needed
- Generative AI integration for auto-generated learning paths and quizzes
- Mobile app with real-time progress tracking
- VR/AR-based immersive learning modules
- Gamification with badges, leaderboards, and rewards
- Predictive analytics for future skill demand forecasting
| Name | Role |
|---|---|
| Apoorva Prashant Kulkarni | Team Leader, System Architecture, AI/ML Pipeline |
| (Team members) | Frontend, Backend, UI/UX, Integration |
Institution: Modern College of Engineering, PES — Pune Event: Smart India Hackathon 2025 | Result: National Finalist
AiDWISE was designed, prototyped, and presented during the Smart India Hackathon 2025. The system was built collaboratively on-site under time constraints. This repository serves as the official project documentation and architecture reference.
A working demo wireframe was presented to the SIH panel. Screenshots and demo available on request.
Because everyone deserves a roadmap, not just a job description.