Talent Scout Pro — AI Talent Scouting & Engagement Agent

Takes a job description. Discovers matching candidates. Engages them conversationally. Outputs a ranked shortlist scored on Match and Interest.

Live Demo: https://talent-scout-pro.netlify.app/

Git Username: tanweer4u

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What it does

Recruiters spend hours sifting through profiles and chasing candidate interest. Talent Scout Pro is an AI agent that automates the entire top-of-funnel:

1. Parses any job description to extract role requirements
2. Discovers matching candidates via Google Search on LinkedIn
3. Scores each candidate on Match Score (0-100) and Interest Score (0-100)
4. Simulates a personalised outreach conversation with each candidate
5. Outputs a ranked shortlist the recruiter can act on immediately

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Working Prototype

Primary URL: https://talent-scout-pro.netlify.app/

The Netlify page embeds the live Relevance AI agent. No login required. Paste any job description and the agent runs the full pipeline automatically in under 90 seconds.

Direct Agent Link: https://app.relevanceai.com/agents/f1db6c/920de9da-08a4-49f3-9bd6-3680f2bcfe69/7819e915-0a2d-4046-a2fe-e18952de568f/embed-chat

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Sample Input

Job Title: Senior Content Marketing Manager
Company: B2B SaaS startup, Bengaluru
Experience required: 6 to 9 years
Must have: SEO knowledge, managing a content team of 4+ writers,
B2B SaaS content experience
Skills: SEMrush, HubSpot, content strategy, keyword research
Location: Bengaluru, hybrid
Budget: 30 to 45 LPA

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Sample Output

RANK1: Arjun Kapoor (From Database) | MATCH:92 | INTEREST:86 | FINAL:89 | REC:Strong
RANK2: Kavitha Subramaniam (From Database) | MATCH:88 | INTEREST:86 | FINAL:87 | REC:Interview
RANK3: Vikram Nair (From Database) | MATCH:90 | INTEREST:72 | FINAL:81 | REC:Interview

Recruiter: "Hi Arjun — quick chat about a Senior Content Marketing
Manager role in Bengaluru?"
Arjun: "Sounds great — open to relocate; available in 2 months."

Screening Q: "Describe the largest content team you have directly
managed and the KPIs you used to measure pipeline impact."

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Architecture

[Job Description Input]
         |
   [JD Parser]
   Extracts: title, skills, experience, must-haves
         |
   [Candidate Discovery]
   Google Search tool: site:linkedin.com/in queries
   5 targeted searches per JD
   Knowledge base fallback: 10 curated Indian profiles
         |
   [Match Scorer]
   Skills alignment:    40%
   Experience fit:      30%
   Must-have criteria:  20%
   Growth potential:    10%
         |
   [Outreach Simulator]
   Personalised LinkedIn DM per candidate
   Candidate reply simulation
   Interest Score based on warmth + alignment
         |
   [Ranker]
   Final Score = Match x 0.6 + Interest x 0.4
   Ranked shortlist with notice periods + screening questions
         |
   [Output: Ranked Shortlist + Recruiter Action Plan]

Platform: Relevance AI (agent orchestration) LLM: Claude via Relevance AI Live data: Google Search tool (site:linkedin.com/in) Knowledge base: 10 curated B2B SaaS candidates, Bengaluru Production data source: Apify LinkedIn scraper (architecture ready) Front-end: HTML on Netlify

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Scoring Logic

Dimension	Weight	What drives it
Match Score	60%	Skills coverage, experience fit, must-have criteria
Interest Score	40%	Response warmth, career alignment, openness to move
Final Score	100%	(Match x 0.6) + (Interest x 0.4)

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India-Specific Features

• Searches prioritise Indian cities: Bengaluru, Mumbai, Delhi, Hyderabad, Pune
• Notice periods in Indian norms: 30, 60, 90 days
• Salary in LPA
• Outreach simulated as LinkedIn DM or WhatsApp
• Fallback profiles from Indian product companies: Freshworks, Razorpay, BrowserStack, Chargebee, Postman

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Local Setup

No installation required.

1. Download talent-scout-agent.html
2. Open in any browser
3. The live agent loads automatically
4. Paste any job description and press send

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Built by

Tanveer Masood GitHub: https://github.com/tanweer4u LinkedIn: https://linkedin.com/in/tanveer-masood