DeepScreen: Autonomous Resume Screening & AI Interviews

🤖 DeepScreen is an AI-powered hiring platform that helps HR teams find top talent in seconds, not weeks. It combines semantic resume matching, adaptive coding assessments, and integrity-verified AI interviews into one seamless pipeline. 🔗 Try it here: https://deepscreen.netlify.app ⚙️ Powered by Next.js, Django, Python, Rust, ONNX, Qdrant, PostgreSQL, Hugging Face, and Tauri. ✨ Key Features: ⚡ 90% faster resume screening ⚖️ Zero algorithmic bias 🔌 Seamless ATS integration 🎯 Section-weighted embeddings with Precision@10 up 11.4pp 🏆 Multi-stage ranking: HNSW, Cross-encoder, BM25 🎥 AI interviews with real-time 3D avatar 🛡️ OS-level proctoring with MediaPipe and YOLOv8s 📡 LiveKit video with 80 to 150ms audio latency 💾 Offline edge inference, 69MB total model size 🦀 Rust-native ONNX inference, 3 to 5x faster 📊 By the Numbers: 📄 50K+ CVs parsed ✅ 99.7% uptime 💻 8K+ coding assessments ⚡ Under 50ms vector search 🎙️ 2.5K+ AI interviews 🔊 150ms audio latency 👥 Team: 👨‍💻 Bazil Suhail, Founder and Lead Developer 👨‍💻 Abdullah Masood, Founder, AI Specialist and Developer 🧠 Ahmad Saleem, AI ML Lead 👍 If this helped, like and subscribe for more dev and AI tool breakdowns. #DeepScreen #AIHiring #RecruitmentTech #HRTech #ResumeScreening #AIInterviews #SemanticSearch #Rust #ONNX #MachineLearning