Plant Disease Prediction Using Deep Learning

The ultimate goal of the project is to provide a tool that can help farmers and plant pathologists quickly identify and treat plant diseases, leading to higher crop yields and better food security.

Advance Attendence System Using Computer Vision

The primary goal of this project is to build a face recognition-based attendance monitoring system for students attending college, college staff and employees working in an organization in order to improve and upgrade the current attendance system to make it more efficient and effective than before.

Carbon Dioxide Emission Prediction

The CO2 Emission Prediction project utilizes machine learning to Predict car emissions by considering factors like engine size, fuel consumption, and transmission type. This solution aids car manufacturers and regulators in understanding and facilitating informed decision-making.

Forecasting Crude Oil prices.

The Crude Oil Price Forecasting project utilizes time series forecasting techniques to predict crude oil prices using historical data and economic indicators. This project aids investors, traders, and policymakers in making informed decisions regarding crude oil investments.

Sentiment Analyzer

The Sentiment Analysis project utilizes data science techniques to analyze the sentiment of text data, providing insights into the emotional tone conveyed within the text. This project aids in understanding public opinion, customer feedback, and social media sentiments for informed decision-making.

Sales Analysis

In this educational PowerBI project focused on sales analysis, I applied advanced data analysis techniques, with a particular emphasis on time series analysis. By leveraging this expertise, I successfully delivered precise sales forecasting, providing valuable insights for informed decision-making.

Netflix Analysis

Conducted an in-depth analysis of Netflix movies and shows using Tableau. I explored key trends, patterns, and viewer preferences to gain insights into content popularity, genre distribution, and viewer ratings, enabling data-driven decision-making for content creators and strategists.

Exploratory Data Analysis on UFC fighters Data.

I utilized an API to extract relevant data on Mixed Martial Arts (MMA) [UFC] and conducted Exploratory Data Analysis (EDA) to uncover valuable insights about the most exiting sport in the world.