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JanakAdhikari

I'mA Data Scientist

About

Hello! I'm Janak Adhikari, a passionate individual who believes in hard work, dedication, and the power of persistence. I enjoy solving challenges, learning new things, and sharing my journey with others. Welcome to my space!

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Services

Works

Portfolio

Done Projects

Portfolio

Tomato Disease Prediction

This project focuses on building a system to identify and predict diseases in tomato leaves using image-based data. By leveraging machine learning techniques, the system analyzes visual patterns in leaf images to detect diseases.

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Backgraound Removal

Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean.

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Sky Sense

SkySense is a dynamic weather prediction app that leverages cutting-edge Bayesian inference to provide accurate, real-time weather forecasts based on user input and environmental data. By asking simple, intuitive questions, SkySense adapts its predictions to the most relevant factors, such as current weather patterns, location, and historical trends. Whether it's predicting rain, wind conditions, or temperature shifts, SkySense delivers personalized, data-driven forecasts without requiring users to input complex prior knowledge. With its sleek, user-friendly interface, SkySense makes understanding the weather easy and accessible for everyone, anytime, anywhere. .

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Blog

Blog

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Our Blog

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15, December 2024

Adaptive Inference Systems

The Adaptive Inference System (AIS) is a framework that learns, adapts, and evolves in real time using a Bayesian model to balance prior beliefs with new data. Starting from scratch, it builds knowledge through observations and minimal human input, thriving in uncertainty and unexpected scenarios. Designed for diverse applications like robotics and decision-making, AIS is paving the way for intelligent systems that grow and adapt like humans.

Testimonies

Testimonies

Clients Says

Says