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Hi there šŸ‘‹, I'm Pooja!

poojavpatil poojavpatil poojavpatil


A passionate Full Stack Web Developer and a Machine Learning Enthusiast.



Pooja Patil's Projects

blog icon blog

A blogger website built using EJS, Node.js, Express.js, Lodash and MongoDb

bustrackingsystem icon bustrackingsystem

The system provides real time information about buses (Bus details, route of commute, stops, current location, delay in arrival time).

clustering-geolocation-data icon clustering-geolocation-data

Initially clustered the data with a K-Means approach, before using a more complicated density-based algorithm, DBSCAN. Evaluated the models, and improved the performance of DBSCAN with the introduction of HDBSCAN.

cosmos icon cosmos

Algorithms that run our universe | Your personal library of every algorithm and data structure code that you will ever encounter | Ask us anything at our forum |

covid-19-face-mask-detector icon covid-19-face-mask-detector

Detects whether the person is wearing face mask or not, based on the model built using Python, MobileNet, Keras, OpenCV.

keeper icon keeper

A clone of Google Keep, a dynamic note-taking app, developed using Front-end framework React.

nn-visualizer-webapp icon nn-visualizer-webapp

Created a Neural Network Visualizer web application using Streamlit, and a model server using Keras and Flask. I used Keras to train a Neural Network model, and used Keras' functional API to create a model with multiple outputs. The web application visualizes the outputs of all the nodes of all the layers of the neural network for a given input image.

portfolio icon portfolio

A portfolio website exibiting my work-experience, skills and my projects.

revive-suicideprevention icon revive-suicideprevention

The website was developed for helping survivors get through their difficulties, it contains survivor stories, suicide prevention helplines and statistics regarding the said crisis.

rul-of-li-ion-batteries icon rul-of-li-ion-batteries

The remaining life of Li-Ion batteries was predicted by training the model for various datasets, considering various factors by applying Support Vector Machines.

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