-
AT&T Mobility
- San Francisco, California, United States
-
06:51
(UTC -12:00) - linkedin.com/in/akthammomani
Starred repositories
AI-Powered Apple Leaf Specialist: identifies common apple leaf issues from photos and provides clear care steps.
Shazam-style composer ID for classical piano (MIDI or audio) with a compact CNN. Streamlit UI + Colab notebooks.
Build AI-Powered Image Wizard Web Application
Build a Multi-turn Conversations Chit-Chat Bot
Build a Web App called AI-Powered Recipe Recommender App
Build a Web App called AI-Powered Heart Disease Risk Assessment App
Classification Modeling: Probability of Default
akthammomani / awesome-springboard-capstones
Forked from springboard-curriculum/awesome-springboard-capstonesPlace for collecting great projects/capstones from previous springboard students.
Build a Web App called Menara to Predict, Forecast House Prices and search GreatSchools in California - Bay Area
Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)
Building Movie Recommender Engine collaborative filtering using SVD
To use the latest machine learning modelling techniques more specifically ARIMA and SARIMA models to make a probable reconstruction of the sales record of the manufacturer - predicting the future, …
To reduce Traffic Mortality in the USA using K-means Clustering Powered by Tableau
Optimizing Wholesale Wine business by segmenting customers behavior using Machine Learning - Kmeans powered by Tableau
To classify songs as being either 'Hip-Hop' or 'Rock' - all without listening to a single one ourselves using multiple binary Classifiers.
To build multiple binary classifiers that can predict if an individual's application for a credit card will be accepted.
Predict the person gender based on their weight and height using Logistic regression model
Predicting the status of "COVID-19" patients using Random Forests.