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Impacters

Impacters aims to start a movement that encourages youths to innovate in the field of Science, Technology, Engineering and Mathematics (STEM) by giving them the tools to get started and inspiring them to continue exploring.

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Impacters

Project Biruwa: Transforming Nepalese Agriculture with Aeroponics Innovation

As urbanization intensifies and arable land becomes scarce, innovative agricultural practices are gaining traction globally. Aeroponics, a method of growing plants in an air or mist environment …

Impacters

Sandbox - The STEM Research Grant Program

Since our early days, Impacters has been committed to helping young scientists and engineers realize their full potential. In line with our commitment, Impacters is proud to present Sandbox - ...

Impacters

Saathi / Reel

This video reel provides an insight into the Saathi project, an AI innovation that aims to transform farming and agriculture for smallholder farmers in Nepal by offering insights into optimizing ...

Impacters

Innovation Talk Series: Innovations Driving the Future

Impacters, in collaboration with Naya and IT Club Pulchowk Campus, is proud to present the Innovation Talk Series where the industry leaders leading changes in different fields of Science, ...

Impacters

Saathi: Press Statement

Impacters releases Saathi, Nepal's first AI edge solution to alleviate farming issues of the Nepali farmers.Date: 27.03.2022Kathmandu. Impacters announced today the completion of Saathi, the first AI …

Impacters

In Conversation with Lachana Hada: Saathi’s path, from concept to project to product

As Impacters prepares to celebrate the wrap of Project Saathi, we have been putting out materials online to provide insight into the product and the process by which the team ...

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Impacters

Saathi - An AI innovation for Nepali farmers

Despite being a country driven by its agricultural sector, Nepal has been suffering from negative growth in food crop production. This major issue affects both the population and the economy, ...

Impacters

Forecasting soil moisture levels using Long Short-Term Memory (LSTM) model

Time series analysis can help farmers understand the dynamic state of their farms, thus empowering them to make quicker and smarter decisions.Author: Neha Pokharel Time series analysis and prediction …

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