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| title: AI Recruiting Agent | |
| emoji: 🤖 | |
| colorFrom: indigo | |
| colorTo: blue | |
| sdk: gradio | |
| python_version: "3.10" | |
| app_file: app.py | |
| fullWidth: true | |
| header: default | |
| short_description: Bias-aware RAG AI recruiting agent with hallucination checks | |
| suggested_hardware: cpu-upgrade | |
| pinned: true | |
| tags: | |
| - gradio | |
| - langchain | |
| - chroma | |
| - rag | |
| - recruiting | |
| - hr-tech | |
| - responsible-ai | |
| - fairness | |
| - bias-mitigation | |
| - llm | |
| - vector-database | |
| - ai-agent | |
| - nlp | |
| - demo | |
| - explainable-ai | |
| - enterprise-ai | |
| models: | |
| - openai/gpt-oss-120b | |
| thumbnail: https://huggingface.co/spaces/19arjun89/AI_Recruiting_Agent/raw/main/thumbnail.png | |
| disable_embedding: false | |
| startup_duration_timeout: 45m | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| # 🧠 AI Recruiting Agent | |
| A bias-aware, verification-driven recruiting assistant built with Gradio, LangChain, and vector search. | |
| This Space is designed as a **decision-support tool** to help recruiters assess candidate fit and generate outreach emails — while embedding safeguards for fairness and transparency. | |
| --- | |
| ## 🚀 What This Space Does | |
| ### 1) Candidate Assessment (Recruiter View) | |
| - Upload **company culture documents** | |
| - Upload **resumes in bulk** | |
| - Paste a **job description** | |
| - The system evaluates each candidate across: | |
| - Technical skills match | |
| - Culture fit | |
| - A final hiring recommendation | |
| - Claim verification against source inputs | |
| - A structured **bias audit** | |
| ### 2) Cold Email Generator (Candidate View) | |
| - Upload a single resume | |
| - Paste a job description | |
| - Generates a **tailored professional cold email** for outreach | |
| --- | |
| ## 🛡️ Responsible AI Safeguards | |
| This prototype embeds multiple layers of protection against hallucination and bias. | |
| ### 🔹 Input Anonymization | |
| Resumes are sanitized before embedding and analysis: | |
| - Emails, phone numbers, URLs, addresses, and explicit demographic fields are redacted | |
| - Likely name headers are masked | |
| This reduces demographic leakage into both vector search and LLM reasoning. | |
| --- | |
| ### 🔹 Fact Verification | |
| All skills and culture analyses are checked against: | |
| - Resume content | |
| - Job description | |
| - Culture documents | |
| Unsupported claims are flagged and can trigger a self-correction routine. | |
| --- | |
| ### 🔹 Bias Audit Chain | |
| For each candidate, the assistant runs a dedicated **bias audit** prompt that inspects: | |
| - Over-reliance on education pedigree or past employers | |
| - Penalization of nontraditional career paths | |
| - Subjective or exclusionary language in cultural fit | |
| - Reasoning not grounded in the job description or culture docs | |
| The output includes: | |
| - **Bias Indicators** | |
| - A **Transparency Note** for recruiter review | |
| These signals do **not** disqualify candidates automatically — they flag where human judgment is critical. | |
| --- | |
| ## 🧪 Try It Out | |
| 1. Upload sample culture documents (PDF or text) | |
| 2. Upload resumes (PDF or text) | |
| 3. Paste a job description | |
| 4. Click **Analyze Candidates** | |
| Or: | |
| - Upload a single resume | |
| - Paste a job description | |
| - Click **Generate Cold Email** | |
| --- | |
| ## ⚠️ Human-in-the-Loop Disclaimer | |
| This tool is intended as **decision support only**. | |
| It does not replace recruiter judgment, legal review, or organizational hiring policies. | |
| Final hiring decisions must always be made by humans. | |
| --- | |
| ## 🧱 Technical Stack | |
| - **Gradio** for UI | |
| - **LangChain** for LLM orchestration | |
| - **Chroma** for vector storage | |
| - **ChatGroq** for LLM inference | |
| - **Hugging Face Embeddings** for semantic search | |
| --- | |
| ## 📣 Feedback Welcome | |
| This is an early prototype. I’d love feedback on: | |
| - Bias mitigation approaches | |
| - Evaluation transparency | |
| - UX improvements | |
| - Failure modes or edge cases | |
| - Responsible AI design patterns | |
| Please share feedback via the **Community** tab on this Space. | |
| --- | |
| *Built by Arjun Singh* | |