Automatic text summarization with a pre-trained encoder and a transformer decoder (BERT). Provides a web interface for the models using Django

An ML API to compute similarity scores between meta information about sentence examples.

An ML API to compute similarity scores between shingled sentence examples.

ML-API Built using FastAPI for predicting food images and recommending food based on user dietary preferences

🚀 A multi-container app using Docker Compose with a MySQL DB and a Python-based ML API. Accepts user input, returns predictions, and logs results with response time into the database.

An ML API to compute the Jaccard similarity based on shingled subtrees of the dependency grammar.

Credit Card Transaction Fraud Detection App built using XGBoost, FastApi, Streamlit and Docker

SkinGlance is a smart Android application designed to detect skin cancer in real-time using deep learning. By capturing or selecting an image of a skin lesion, the app connects to a cloud-based AI backend to provide instant predictions with high accuracy.

Predicting Number of Bedrooms given some covariates

API Service for Palomade App that use tensorflow model (.h5) to predict maturity level of palm fruit.

Implementation of different machine learning algorithms and methods

SkinGlance-ModelAPI is the backend for the SkinGlance app. It includes deep learning model training and a REST API for classifying skin lesions as benign or malignant.

An ML API to compute semantic similarity scores between sentence examples.

This is api for fetch machine learning predict data

This is an ML service that is used to suggest the user weather a server is to be scaled UP or DOWN.