Building Analytics at Shipsy

Foodigo is an online food delivery platform serving exclusively in the city of Sonbhadra
--It had a fleet management system
--It is built fully over various API supporting different parts of the platform and Android applications (like that 

Foodigo

Participated and Won in Smart India Hackathon Hardware Edition with the given project:-
Our Project meant for active collection of the wastes in the city with a very large number of dustbins (around 3-4 dustbins every kilometer). 
Highlight

Smart Waste Management System - SIH 2019

Designed a Deep Learning Model by finetuning pretrained VGG-16 Convolutional Neural Network for Cats and Dogs Image Classification to participate in Cats and Dogs Redux Image Classification challenge on Kaggle. 
Library used - Keras
Accurac

Artificial Intelligence - Deep Learning - Cats and Dogs Image Classification

Used Linear Regression to predict the cost of the houses using Melbourne house cost dataset with accuracy of 82%.

Machine Learning - Regression - House Cost Prediction

Used Random Forest Classifier for predicting the person being alive or dead with 88% accuracy.

Machine Learning - Classification - Titanic Dataset

Created a simple timetable management app in Android Studio.The application can store classes along with timings in an SQLite database and then retrieve daily classes and display them in a ListView

Android - Time Table App

Simple IDE made in Pure Java it was intended made with taking full care of design.
It had fancy compile button and basic error reporting panel.
GUI - JavaFX.
Compiler - Tiny CC

Ujjawal Srivastav

Building Analytics at Shipsy