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Vaibhav Patil's Projects

data-dashboard icon data-dashboard

A Dyanamic React Based Frontend ,which Displays all sales details of a company and KPI using Chart.js and to handle effevtive communication between frontend components a well designed API's and better Backend script is wrtten ,to fetch the data from MongoDb.Backend is based on ExpresssJs and NodeJS

data_analysis icon data_analysis

Scrapping web urls from internet and doing analysis on required parameters using python

html5-boilerplate icon html5-boilerplate

A professional front-end template for building fast, robust, and adaptable web apps or sites.

linkedin_clone icon linkedin_clone

: HTML5, CSS3, and JavaScript (React/Vue.js/Angular) for an interactive frontend. Node.js, Express.js, and databases like PostgreSQL or MongoDB power the secure backend. Implementing RESTful APIs, WebSockets, and Docker/Kubernetes ensures seamless communication, scalability, and efficient deployment.

mad-lab-exp04 icon mad-lab-exp04

To develop a card layout for our Flutter application. During this experiment, we acquired knowledge about • ListView • CardLayout

mad_lab_exp02 icon mad_lab_exp02

To develop a profile page feature for our Flutter application (Stateless) During this experiment, we acquired knowledge about • The Stateful and Stateless Widget • Few new widgets such as Column, Row, CircularAvtar, Divider, Sizedbox and Padding.

mad_lab_exp03 icon mad_lab_exp03

To develop a profile page feature for our Flutter application (Stateful) During this experiment, we acquired knowledge about • Converting Stateless Widget to Stateful Widget • Few new widgets such as Padding, Margin, FloatingActionButton. • onPress activity

mad_lab_exp_01- icon mad_lab_exp_01-

During this experiment, we acquired knowledge about the scaffold layout, widget hierarchy, and diverse widgets such as Text, TextStyle, Font, Image, Assets, Icons, Padding, and Center, among others.

madlab icon madlab

Login and registration and firebase as a backend

multiclass-text-classification-with-distilbert-on-covid-19-tweets icon multiclass-text-classification-with-distilbert-on-covid-19-tweets

I implement a deep learning network to classify COVID-19 Tweets into 5 categories and 3 categories using DistilBERT (a lighter version of BERT) as an embedding layer along with an LSTM and Dense Layer. I Achieve 65% accuracy with 5 categories and 80% accuracy on 3 categories.

nlp-with-deep-learning icon nlp-with-deep-learning

In this repository, i will be making some cool projects in NLP from basic to intermediate level.

ovarian_cancer-research- icon ovarian_cancer-research-

This project aims to develop a optimizd model for predicting 7 subtypes of ovarian Cancer.The data is autheticated radilogy reports .this unstructured data was structures using rule based algorithms .and also in this pipeline A Custom NER nodel was iplemented to enhance feature extraction.

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