Unafeed on Bosch IoT Hackathon 2019 🖥

Website built with Flask that provides users with a balanced online news feed to counter partisan divide.

Winning Hackathon Project (HackTJ 7.5)

A sample model for predicting the systolic level of an individual by providing the age,cholesterol and blood pressure

A Django-ReactJS App to get the best price for your car using a trained RandomForest model

In this project we have developed ML algorithm for opinion & suggestion mining. We have designed our model for customers & organizations. Customers can receive the percentage of positive & negative reviews. Similarly, organizations will receive the percentage of positive and negative reviews, along with improvement tips for their product/service.

A website utilizing datasets trained using XGBoost algorithm to forecast sales in big mart with best possible accuracy in comparison to other existing models.

Konvergence BootCamp Project: Predicting whether a new customer will purchase a car based on a social network ad dataset using K Nearest Neighbour.

Dominant Color Extraction and Image Segmentation

Journal Website Minor Project

A system that can detect radical tendencies sourced from Twitter and Facebook.

I Will Discover your Superhero! Python, Flask, SKLearn and React

Breast Cancer Detection. This is a project based on Machine Learning. It is Full stack, created using Django [Python]. Used for detecting Breast Cancer from parametric data imported from sklearn.

A Django Webapp to build AI Image Classifier Models (Train, infer, download weight files) without coding

Breast cancer detection is a web application to detect breast cancer in women using parametric data. Backend is built using machine learning and Django. Bootstrap is used for frontend.

A dashboard to discover and search for Korean TV series. Built using React, Flask, SCSS, Sklearn and Docker.

Прогнозирование курса алюминия с использованием модели ARIMAX