June 12, 2021 → August 8, 2021
Exploratory Data Analysis and Data Cleaning of Property Prices Dataset. Data Consisted of 11 Predictors. Utilized various ML Frameworks like tensorflow and sklearn for predicting prices of property using Neural Network, Decision Tree and Random Tree models. Stood among top 8 in a class of strength 70+.
<aside> 🔧 Machine Learning | Python | Data Cleaning
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A part of a certification offered by IIT Roorkee in 2021.
September 1, 2022 → September 30, 2022
Work on stable-diffusion
A latent text-to-image diffusion model capable of generating photo-realistic images given any text input
Prepared a pipeline to host and run stable diffusion (text-to-image model) using replicate-api on a virtual machine hosted on GCP and using postman for i/o operations.
<aside> 🔧 Stable-Diffusion | Python | Google Cloud Platform | Text-to-image | Postman
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January 1, 2023 → April 6, 2023
Developed a web platform for users to be able to create their own personalized chatbot and interact with them. User input used to finetune gpt3 models.
github
<aside> 🔧 gpt3, gpt4 | Python | php | html+css+js | mySql | NLP
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February 15, 2023 → April 20, 2023
Integrated finetuned gpt3, gpt4 into an existing game to add user interaction with case specific chatbots and added a chat interface for interaction.