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ML Engineer | iOS Developer | Full-Stack Application Developer | Information Technology Final Year Student | Trained in Applied Machine Learning and Data Science | Data Science Enthusiast | Programmer | Web Developer | eLearner

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About

🔭 I'm passionate about Artificial Intelligence, Deep Learning, Machine Learning, Computer Vision and Natural Language Processing. I have previously worked in the fields of Computer Architecture, Signal and Image Processing and Pattern Recognition.

💬 My personal mission is to build AI-based solutions that solve a real high-impact problem for people around the world and simplifies day-to-day living.

👯 I am interested in mentoring, coaching and collaborating with people in the field of AI. If you have an idea related to my areas of interest and are interested in getting my thoughts or collaborating, feel free to shoot me an email!

Bio

🌱 I am currently pursuing my under-graduate studies in Information Technology from Vellore Institute of Technology.

Publications

  1. Skin Cancer Detection using Transfer Learning and Ensemble Modelling
  2. Lung Nodule Detection based on Machine Learning and Deep Learning - An Analysis
  3. [In Progress] Network Intrusion Detection System using Machine learning and Deep Learning Techniques

🙋‍♂️ Connect with me

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C C++ HTML Java JavaScript NodeJS PHP Python

🧰 Frameworks and libraries

Arduino Express.js Flutter GitHub Actions Jupyter Keras NumPy Pandas TensorFlow Wordpress

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GitHub Pages Heroku MongoDB MySQL Oracle

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Android Studio Android Git Google Sheets Stack Overflow Visual Studio Code

📊 Github stats

Aashish Bansal's GitHub stats

Aashish Bansal's Projects

android-projects icon android-projects

This repo contains some basic projects created while learning to make Android apps.

awesome-pentest icon awesome-pentest

A collection of awesome penetration testing resources, tools and other shiny things

basic-chatbot icon basic-chatbot

For this project, we will be using the Picker Library. Here, we will take the input and the data should consist of stories, questions, and answers. Then, we have the word index and it takes the dictionary from the tokenizer. The other parameters which we will need are the length of the longest story and the length of the longest question. We need these parameters for the Pad Sequences Function.

blog-website icon blog-website

Developed a fully-functional blogging website having an admin panel and a blog portal.

bmi-1 icon bmi-1

A Spring boot web application to calculate the body mass index

data-science-study icon data-science-study

This repository contains jupyter notebook and other resources made by me during learning Data Science

datasets icon datasets

Contains the datasets for projects present in the repositories in my Github Account.

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