Welcome to AK's Portfolio !!

Project Title: Leaf Detection and Classification Using Image Processing

Designed and developed an intelligent web application that detects and identifies leaves from uploaded images using advanced image processing techniques. Built with Python and Flask, the solution includes dynamic modeling to process and classify leaf structures. Upon detection, the application retrieves descriptive information about the identified leaf species from Wikipedia, offering an interactive, end-to-end user experience for plant enthusiasts and researchers.

''This project showcases my proficiency in image processing, cleaning, and Feature engineering, along with my ability to derive actionable insights from the wiki for describing leaf.''

Project Title: Twitter Sentiment Analysis

In my GitHub project "Twitter Sentiment Analysis," I conducted sentiment analysis on Twitter data using NLP techniques. I scraped data from Twitter APIs with developer access, cleaned it, and structured it into a data frame. Then, I applied NLP techniques to analyze user comments and visualize the sentiment results. Additionally, I utilized Bitcoin-related tweets to predict sentiment towards Bitcoin and compared it with Bitcoin prices using regression analysis.

''This project showcases my proficiency in data scraping, cleaning, NLP, and predictive modeling, along with my ability to derive actionable insights from social media data for market analysis purposes.''