AI, beyond a single field.

A practical map of artificial intelligence, connected to public projects and useful explanations. Explore the areas, understand the differences and inspect the work.

Start with the field. Look at the evidence.

Based in Kathmandu, Nepal, my work spans AI agents and business automation, alongside public machine-learning, deep-learning and NLP projects. The links below distinguish published code and models from educational guides to broader AI topics.

For current business requirements and training, explore AI automation, AI agents, n8n workflows and practical AI training.

Read the complete AI field guide

Explore the work yourself.

Machine learning, deep learning, NLP and computer vision projects. Public repositories and model pages provide the details; demo Spaces may sleep or require a restart.

Nepali food classification

A MobileNetV2-based project for classifying nine Nepali food categories.

Laptop price prediction

A random-forest project estimating laptop prices from specifications in a Nepal-focused dataset.

Named entity recognition

A public project exploring named entity recognition in text.

Model APIs

A public repository focused on building an API around a machine-learning model.

Waste image classification

A public CNN classification project distinguishing recycled and organic waste images.

These links document projects and experiments. They are not independent benchmarks or guarantees of accuracy. Current model files and usage details are available on the linked pages.

All Hugging Face models

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something useful.

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