Aditya Kapole's Projects
Config files for my GitHub profile.
Quickstart sample for using the Azure AI Studio with the SDK or CLI options - and the PromptFlow framework.
This project provides an interface for uploading multiple types of documents. With the power of LLMs, users can ask questions based on the uploaded content and receive intelligent, context-aware responses.
Utilizing logistic regression, this project predicts corporate bankruptcy by analyzing a comprehensive set of financial indicators, offering valuable insights for timely financial risk management.
During my internship at BHARAT INTERN, I completed various projects in Data Science domain, which are compiled in this repository.
Captionify is a versatile and user-friendly image captioning project that harnesses the power of two remarkable models: Llama-2-7b and Llama-3 for natural language understanding and Blip-Image-Captioning-Large for image caption generation.
During my internship at Codsoft, I worked on several Data Science projects, all of which are documented in this repository.
Conducting a comprehensive analysis and transformation of a UK-based retail dataset (2010-2011) into a customer-centric format to facilitate customer segmentation using various clustering algorithms. Implementing a personalized recommendation system aimed at enhancing marketing strategies and driving sales growth.
This repository contains study material for the training provided by EDUNET Foundation in data analysis and Azure Cloud, as part of the CSR program by EY GDS.
A repository housing code snippets, resources, and in-depth insights related to my LinkedIn posts, fostering collaboration and knowledge-sharing within the professional community.
PictoSymphony is an innovative image processing application that leverages cutting-edge technologies to provide a unique and artistic experience. It combines the power of Salesforce's blip-image-captioning-large model for image description with CompVis's stable-diffusion-v1-4 for image generation.
This project aims to classify lung images to determine whether a person is suffering from pneumonia or not. The classification model is built using deep learning techniques[Xception Pre-trained model], and a Gradio interface is provided for easy interaction and testing.
An open-source tool for creating legal documents, developed during my internship at Sharkdom.
Data Analysis using PowerBi - This repository contains a PowerBI dashboard designed for analyzing and visualizing sales data for a store. The dashboard provides key insights into sales performance, trends, and other relevant metrics, allowing users to make informed business decisions.
A cutting-edge multi AI agent platform that uncovers emerging trends and crafts engaging narratives, seamlessly blending research and storytelling using CrewAI
In this project, I've developed a sophisticated sentiment analysis model tailored specifically to categorize tweets into positive, neutral, or negative sentiments.
This repository contains the projects I completed during my internship at Uniconverge Technologies in the Cloud Computing and Data Science domains.
Web_Development
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent