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priyanshi

{ Hey There! I'm Priyanshi }


πŸŽ“ - I am a B-Tech in Computer Science graduate and my goal is to use NLP to cities smart and the world a better place to live.
🌻 - I am currently working as a Research Associate at LCS2 at IIT Delhi.
πŸ’‘ - My prior experiences are:

  • As a Research Engineer Intern on speech translation with SYSTRAN for 2 months
  • Nokia for 6 months as a Data Science intern where I built a tool for Multilinguil Document Translation.
  • I have also worked as a Research Intern at AI institute, Uofsc on Smart Cities and Summarization for over 1 year
  • As a Deep Learning Engineer Intern at NVIDIA on the Conversational AI team for 4 months
  • I have interned with Grroom IIT Bombay for 3 months and contributed to their AI-fashion stylist model

πŸ’» - I'm working on my Competitive Programming and Deep Learning Skills.
⚑ - Visit my website to know more about me.
🌐 - Most of the projects that I work on are here!

πŸ“« If you wish to collaborate on a project with me, feel free to reach out to me on LinkedIN ⬇

My Research Interests

✨ Machine Translation ✨ - ✨ Computational Social Science ✨ - ✨ Smart Cities ✨ - ✨ NLP Applications ✨

Priyanshi Gupta's Projects

20_newsgroups_text_classification icon 20_newsgroups_text_classification

Built a Multinomial NaΓ―ve Bayes classifier and compared the results with the built-in classifier in Sklearn. Developed a classifier with accuracy 82%.

american-checkers-ai icon american-checkers-ai

A website to play the American Checkers game with an AI built using the Mini-Max Search Tree algorithm and Alpha-Beta pruning

cola_sentence_classification_bert icon cola_sentence_classification_bert

BERT with the huggingface PyTorch library on CoLA dataset for sentence classification and evaluate predictions using Matthew's correlation coefficient

combined_cycle_power_plant icon combined_cycle_power_plant

Coded Gradient Descent for N features and came up with predictions by trying and testing with various combinations of learning rates and number of iterations.Developed a model with accuracy 93.6%

competitive_programming icon competitive_programming

List of competitive programming practice problems and my code solution for them topic vise. Under Construction !

e-yantra_biped_patrol_19-20 icon e-yantra_biped_patrol_19-20

Successfully participated and qualified till the pre-final round in E-Yantra Nationals 19-20 and worked on the theme Biped Patrol which aimed at developing a Self-Balancing Bot embedded with a magnometer and a gyrometer.

e-yantra_hungry_bird_18-19 icon e-yantra_hungry_bird_18-19

5th Position submission for E-Yantra Nationals 2018-2019 in the track Hungry Bird: Autonomous Drone Control Using Whycon Markers.

filtermisalignedtranslationpairs icon filtermisalignedtranslationpairs

A model-based cleaner using Laser sentence embeddings to exploit embeddings to filter misaligned segment pairs. Product scaled by asynchronously building the Task Queues, dispatching the tasks in a Round Robin method and adding multiple workers on the RabbitMQ server for consumption.

flipkart_product_categorization icon flipkart_product_categorization

This repository illustrates the task of applying Machine Translation ( Seq2Seq Attention Network ) for Product Categorization of an E-Commerce Website data (Flipkart), classification of the description of products into the primary category of their category tree, and documenting the path to an optimal model pipeline

hydranet-wikisql icon hydranet-wikisql

Code and trained model for Hybrid ranking network for text-to-SQL on WikiSQL

hyperbolic-learning icon hyperbolic-learning

Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)

image-classification icon image-classification

Predict the correct class for each object in Cifar-10 dataset using Tensorflow and implementing Convolutional Neural Network

important_dsa_questions icon important_dsa_questions

List and Code Solutions of 450 Important Data Structures & Algorithms Questions focused on Placement and Interview Preparation

insta-bot icon insta-bot

An automated web scraper built using Selenium WebDriver to parse "food" based data from Instagram and perform a case study on it

nvidia_nemo_voice_swap icon nvidia_nemo_voice_swap

NVIDIA's NeMo and Pytorch Lighting API is used to load an audio_sample and convert it to text with QuartzNet ASR model. To convert text back to audio, spectrogram with Tacotron2 is generated first and then convert into actual audio signal using WaveGlow vocoder.

ocrlinguist icon ocrlinguist

A tool to translate Multilingual Legal Document PDFs to English using Tesseract, EasyOCR and EasyNMT's Opus-MT Machine Translation model locally

pandas_tricks icon pandas_tricks

25 Python Pandas tricks to work faster and write better pandas code

sales_analysis icon sales_analysis

Using Python Pandas & Python Matplotlib to analyze and answer business questions about 12 months worth of sales data.

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