AI & ML Projects

Computer vision, NLP, recommendation systems and production ML pipelines for real-world problems.

Guides & Articles

• Computer Vision Use Cases for Industry
  Retail analytics, medical imaging, and quality inspection examples.
• NLP for Business Workflows
  Chatbots, summarization, and automation using modern NLP stacks.
• Building Robust ML Pipelines
  Data, training, serving and monitoring for production ML.
• On-Device ML for Mobile & IoT
  TinyML, quantization and deployment techniques.
• MLOps Best Practices
  Model versioning, CI/CD for ML, drift detection and rollback.
• AI Ethics & Bias Mitigation
  Responsible AI considerations for product teams.
• Building Voice Interfaces
  Design and engineering of voice-first experiences like Bhojan Mitra.
• Model Compression & Optimization
  Making ML models smaller and faster for production.
• AI for Retail & Restaurants
  Recommendation, demand forecasting and automation examples.
• Getting Started with ML Projects
  Step-by-step guide for small teams to build their first ML product.