The Theme given was : Intelligent Orchestrators & Multi-Agent Systems Build systems where multiple intelligent components collaborate to solve complex problems. Focus on coordination, orchestration, and reliable execution of multi-step tasks across agents doing decision-making, planning, or research
I've thought of below problem statement and idea 👇
Shortlist AI — Decision Intelligence for Inclusive Hiring
Problem Statement
* Modern hiring relies heavily on resume filtering, keywords, and academic credentials
* Unstructured interviews often fail to assess real skills and capabilities
* Skilled candidates such as self-taught developers and career returners are frequently overlooked
* Neurodivergent and non-traditional candidates face unfair disadvantages
* Underrepresented communities are often excluded due to biased hiring practices
* Many AI hiring tools lack transparency and provide rankings without explanations
* This reduces recruiter trust, creates compliance risks, and leads to biased decisions and missed talent
Solution Overview
Sequential Multi-Agent Architecture
Shortlist AI uses a Sequential Multi-Agent Architecture to transform raw candidate data into explainable hiring intelligence.
- Evidence Agent — Skill Intelligence Extraction
* Collects candidate evidence from GitHub, coding platforms, portfolios, blogs, and optional resumes
* Analyzes signals like code quality, consistency, project complexity, domain relevance, and recency
* Focuses on verified skills instead of self-reported claims
- Context Agent — Role Understanding
* Reads job descriptions and extracts required skills, preferred skills, and importance levels
* Builds a structured role model for role-specific evaluation
- Reasoning Agent — Explainable Decision Engine
* Compares candidate evidence with role requirements
* Identifies strengths, skill gaps, confidence levels, and recommendations
* Produces transparent, human-readable hiring insights
- Ranking Agent — Fair Shortlisting
* Ranks candidates based on skill relevance, evidence strength, and role fit
* Provides explainable rankings to improve recruiter trust
- Feedback Agent — Candidate Growth Engine
* Provides skill gap insights, improvement suggestions, and learning paths
* Supports candidate growth and fair hiring outcomes
6.Inclusion Agent-
Provides autism-friendly work simulations with structured tasks and predictable workflows
Supports accessibility with dyslexia-friendly text, ADHD task breakdown, and text-to-speech
Enables fair, inclusive, and capability-based hiring
Unique Selling Proposition
* Evaluates real skills instead of resumes
* Uses multi-agent reasoning for explainable hiring decisions
* Reduces bias through evidence-driven evaluation
* Provides actionable candidate feedback
* Supports inclusive and accessible hiring practices
* Ensures decisions are transparent, fair, justifiable, and defensible