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Hi there πŸ‘‹

  • πŸ‘¬ I’m looking to collaborate on challenging research topics in Artificial Intelligence
  • 🌱 I’m currently learning about new developments in NLP, Multimodal architectures, and Continual Learning
  • πŸ’¬ I enjoy discussions about how ML is applied in different domains, and ways to optimize a Deep Learning model
  • πŸ˜„ Pronouns: he/him
  • ⚾ Fun fact: I am ready to play cricket at any hour of the day!
  • πŸ‘¦ Know more about me: Personal Website

Recent


Here are the links of available projects:

Deep Learning

  1. Detection of Hate Speech in Multimodal Memes

  2. How to build a Convolutional Neural Network from scratch using tf.keras for Image Classification

  3. Pytorch CNN Implementation on MNIST Dataset

  4. Implement a Convolutional Neural Network Layer in NumPy

  5. BERT in PyTorch for Natural Language Processing with Disaster Tweets

  6. Paper Review and Analysis-What Does BERT Look At? An Analysis of BERT's Attention

Machine Learning

  1. Predict survival on the Titanic challenge in MATLAB

  2. Case Study - Linear Regression in Transportation Domain

  3. Acoustic classification and localisation of sound sources for autonomous vehicles using Machine learning

  4. EEG-Based Biometric Authentication for Brain Computer Interfaces

Computer Vision

  1. Computer Vision

Speech Recognition

  1. AI based Voice conversion to hide user identity and private data

Internet of Things

  1. IoT Smart Refrigerator

  2. Smart Car Features using Embedded Systems and Internet of Things

  3. Rain Sensing Automatic Car Wiper using AT89C51 Microcontroller

Abhishek Das's Projects

acoustic-classification-and-localisation-of-sound-sources-for-autonomous-vehicles-using-ml icon acoustic-classification-and-localisation-of-sound-sources-for-autonomous-vehicles-using-ml

Audio-based perception for autonomous cars is very important for discerning and comprehending the environment, as it can complement existing vision-based perception and pave the way for multimodal operation. However, these sensors have not yet been fully established in modern autonomous vehicles, robbing the system of context when needing to make important driving decisions. Our project seeks to take steps towards tackling this by applying machine learning techniques to help separate, classify and localise sounds of objects in a car’s vicinity. With these two capabilities, a car is more well-informed of its surroundings and can act accordingly (such as responding and making way for police cars, ambulances and fire trucks).

computer-vision icon computer-vision

This repository is a collection of my implementations on various topics in classical computer vision which I have learned throughout the course - Computer Vision, at Carnegie Mellon University

deep-learning icon deep-learning

Implementation of frequently used techniques in Deep Learning

hackerrank icon hackerrank

Solutions to various Problem Statements at HackerRank

iot_refrigerator icon iot_refrigerator

Arduino Code for integration of GSM module, ultrasonic sensor and infrared sensor to implement a Smart Refrigerator

iot_smartcar icon iot_smartcar

Arduino Code for integration of GSM module, GPS module, and various sensor to implement smart car features

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