Web App

Relevancite: your personal research validating AI assistant

Motivation Academic research depends on accurate citations, yet verifying whether a referenced paper truly supports a claim can be tedious and error-prone. In large literature reviews, this task becomes nearly impossible to perform manually for every claim. RelevanCite was created to address this challenge, aiming to reduce errors, save researchers time, and strengthen the integrity of scholarly work.

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Crop Yield Predictor for Cereal Crops of Nepal

Introduction This project implements a comprehensive pipeline for predicting cereal crop yields in Nepal using machine learning techniques. The workflow begins with raw data extraction via Optical Character Recognition (OCR) and culminates in model training and performance evaluation. The pipeline is built using Python and leverages powerful tools such as Tesseract OCR, Pandas, NumPy, scikit-learn, Matplotlib, and Seaborn.

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Pixel Art Canvas

A web-based tool that allows users to create and share pixel art, with features for drawing, coloring, and saving artwork.

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Sales Statement Creator

A web app that I made using Python and Flask that generates PDFs of sales records for businesses. It can grab client details using their VAT/PAN number from the government’s website ird.gov.np. It then generates a report that shows the total transaction that occured between the parties in a PDF file.

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2048

A web implementation of the popular 2048 puzzle game, designed with a smooth user interface.

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