Pankil Shah

A program to predict the future price of a stock by leveraging 5 different machine learning models, comparing the results of these models and choosing the model with best results.

Machine Learning models used: Linear Regression, KNN, SVM, RandomForest and LSTM

Github

A multi lingual dictionary application that helps lexicographers(dictionary writers) by breaking down the sentences into clusters with related sense. The user can select a word of interest, part of speech and the desired language to get all the sentences with that particular word.

It supports English, Italian and German. Other features include organized cluster views and cluster preview, keyword in context(KWIC) and users can select number of clusters.

It is developed in Python using Flask framework and uses MySQL database.

Github

A one-stop solution for managing huge number of incoming and outgoing stocks, allocating it to the engineers and maintain a record of the usages.

Functionalities include adding of item, city, engineer, stock, allocation of engineers and reporting the usages and defects. Defective items can be sent to repair and added back once repaired. You can view these in a feature-rich tabular form, download reports in Excel and PDF formats as well as analyse them directly from dashboard. It has the capability to provide role based access to the users with admin having the full access of all the functionalities.

It is developed in .NET framework with Angular 8 as front-end technology and MongoDB.

Github

A billing system developed for generating bills quickly in an exhibition. It makes the handling of sales, invoices and tracking of payments a lot easier. It also has the 'Save for later' functionality to store items in customer shopping cart until purchase.

The program is written in Java back-end and front-end includes HTML and Materialize CSS.

Github