I blend cutting-edge technology with practical applications to solve real-world challenges.
Explore my project portfolio, where I apply advanced Machine Learning, AI, and data-driven methodologies to craft innovative solutions. Each project demonstrates my ability to tackle complex challenges and deliver impactful, real-world applications, showcasing both technical proficiency and creative problem-solving.
This is a chatbot project designed to provide comprehensive solutions for students at my university. The bot serves as an intelligent assistant, helping students with various queries related to university services, academic information, course details, tuition details, academic details and other campus activities.
You can see the Chatbot demo in this video.
A simple and powerful web application built using Streamlit and the T5 Transformer model from Hugging Face to summarize any text input. This tool allows you to paste articles, emails, or reports and instantly get concise summaries with the power of AI. Features Summarize long articles, emails, or reports easily. Fast and responsive with the T5 Transformer model. Text summarization happens in real-time. Beautiful UI built with Streamlit. 💻
You can use this summarizer from demo button and here is a demo video.
This is a Convolutional Neural Network (CNN) model built using TensorFlow and Keras to classify images of cats and dogs. The model uses a simple architecture of convolutional layers followed by fully connected layers for binary classification.
You can see the demo in this video or can see the deployed version.
A predictive model that leverages historical stock data and machine learning techniques to forecast future stock prices, helping investors make informed decisions.
Source CodeThis project predicts sales based on advertising budgets for ads. The dataset contains advertising expenditures and corresponding sales data, and the goal is to predict sales based on new campaign budgets.
Source CodeThis model performs customer segmentation based on their Annual Income and Spending Score. It helps businesses understand customer behavior and target marketing strategies effectively.
You can see the demo in this video.
Logistic Regression model for classifying breast cancer as malignant or benign using the scikit-learn dataset.
You can see the demo in this video.