Languages I am comfortable with.
Web related languages I know.
Querying Languages that I often use.
Frameworks I have worked on before.
data Science and Machine Learning Algorithms that I have learned.
Find the love of your dog's life or your money back.
(Dec 2019 - March 2020)
• Designed, built an IPython notebook on Cornell movie dataset using a Luong Attention GRU model in PyTorch.
• Pre-Processed the dataset and trained it on a GRU model that uses Attention which focusses on current word.
• Applied Greedy Search to predict the next word in the output sentence.
(Sept 2019 - Dec 2019)
• Designed and developed a text transcription tool for preparing PowerPoint, with the help of the OCR model that facilitates users to create a PowerPoint quickly by just taking pictures of coded text images.
• The accuracy achieved was 70% using VGG-19 Convolutional Neural Network (CNN) in python.
• Trained and compared our model with Tesseract (Open Source OCR)
(Jan 2019 - May 2019)
• Designed, developed and deployed a Php based Pet Store Website where users can register and schedule appointments at the Pet store.
• Migrated the entire php codebase to JavaScript MERN stack with MVC framework.
(Oct 2018 - Dec 2018)
• Developed and implemented a Connect 4 board game using Python and Min-Max.
• The algorithm predicts the next moves needed for the computer to win the game.
• Added alpha-beta pruning and variable depth to boost the performance.
(Oct 2018 - Dec 2018)
• Created a simple but efficient Blog posting website with date sorted blogs using Python Django.
• The Website has a summary of the list of blogs on the Home page and expands a blog on clicking it.
