Projects
E-LEARNING Website
Aim:
To Build an E-Learning platform website.
Details:
Used HTML, CSS and Java Script.
Outcomes:
Created a responsive website that provides
various E-Learning courses.
Link:
Speech-Emotion-Recognition
Dine-In
Aim:
To build a design for the restaurant’s website.
Details:
Used Figma functions like frames, plugins,
rectangles to create a design
Outcomes:
Created a design of the restaurant home page
using Figma.
Link:
Speech-Emotion-Recognition
Portfolio website
Aim:
Building a website to show case accomplishments.
Details:
Used the tools HTML, CSS, and Java Script to
build my website
Outcomes:
A responsive website show casing my career
achievements to date.
Link:
Ashish Portfolio
Speech Emotion Recognition
Aim:
Analysing the emotion of a person.
Details:
Used the visualization techniques like waveplot and spectrogram, used data augmentation techniques, and also extracted the features using libROSA library.
Outcomes:
Created a pre-trained model with an accuracy of 61 percentage.
Link:
Speech-Emotion-Recognition
Time-series-data-analysis
Aim:
Analysis of the time series data using different
techniques
Details:
Used various models like FB-Prophet, ARIMA
Model, VAR Model, and SARIMAX Model.
Outcomes:
This project has the collection of the various
time series techniques put together and helps to choose
the best model for the data.
Link:
Time-series-data-analysis
Tableau project on air travel data of the San Francisco
airport
Aim:
Creating an interactive dashboard for analysing data.
Details:
Used the tableau public functions to create the
dashboard.
Outcomes:
This dashboard helps the users to analyse the
traffic at the San Francisco airport.
Link:
Tableau public
Spam and Ham Mail detection
Aim:
Analysing a given mail is spam or ham.
Details:
Used NLP to clean the data and applied the
multinomial naïve bayes theorem.
Outcomes:
Created a model that has scored an accuracy
of 96.94 percentage accuracy on the test data.
Link:
Spam and Ham Mail detection