🧠 What You'll Build

• 📷 Webcam-based Object Detection App
• 🧍 People Counter System
• 🎯 Real-time bounding boxes + predictions
• 🌐 Deployable Streamlit web app

⚡ Why This Workshop is Different

• ✅ No installation — runs on GPU cloud (CookieCloud Labs)
• ✅ Build a complete working AI app (not just theory)
• ✅ Beginner-friendly, step-by-step guidance
• ✅ Industry tools: YOLOv8, PyTorch, Streamlit
• ✅ Small batch = personal attention

🎓 Who Is This For

• 🎓 Students (1st–4th year)
• 🤖 Beginners in AI/ML
• 💻 Anyone wanting a real project fast
• 🚀 People preparing for internships / placements

🎁 What You Get

• 💻 Access to GPU-powered CookieCloud Labs
• 📂 Complete source code
• 🧠 Understanding of real AI workflows
• 📜 Portfolio-ready project
• 🤝 Guidance from DTU alumnus founder

⏱️ Workshop Details

Duration: 2 Hours

Mode: Live (Online / Campus)

Seats: Only 16 students per batch

Instructor: Ashish Chaudhary (DTU 2012)

💡 Outcome

• 🚀 Build your first AI app from scratch
• 📦 Learn how real-world object detection works
• 🌐 Deploy your project as a web app
• 🎯 Gain confidence in AI development