End-to-End Data Analysis Project: Selecting the Best T20 Players

In this project, I embarked on a comprehensive data analysis journey to curate the optimal T20 cricket team by leveraging advanced analytics and visualization techniques. The primary goal was to gather data from reliable sources, analyze player statistics meticulously, and present insights.

Property Price Prediction Model

In this project, I developed a machine learning model to predict property prices in Bangalore, leveraging data collected from the Kaggle website. The goal was to assist potential buyers, sellers, and real estate professionals in making informed decisions by providing accurate property estimation.

Sports Player Image Classification using Machine Learning

In this project, I developed a machine learning model to classify images of five sports players: Virat Kohli, Maria Sharapova, Lionel Messi, Roger Federer, and Serena Williams. The objective was to accurately identify and classify the sports player depicted in an input image.

Frowto Shippers Mobile App

In this project, I developed a mobile application using Flutter and Firebase that enables users to book luggage transfers at affordable prices. The app streamlines the process of transferring luggage between locations, providing users with a convenient and cost-effective solution.

Mira: Food Ordering Chatbot with Dialogflow Integration

In this project, I developed a conversational AI chatbot named 'Mira' using Dialogflow, enabling users to conveniently place food orders and track their status through natural language interactions. The chatbot was later integrated with a database to efficiently process orders.

Review Sentiment Analysis using Hugging Face

In this project, I implemented a sentiment analysis model using the Hugging Face Transformers library based on pre-trained transformer models. The goal was to classify the sentiment of product reviews as positive, negative, or neutral.