Soumalya Das

AI Movie Recommendation System

TIC TAC TOE

Rule based Chatbot

Create an rule-based chatbot using Python.

Hello AI

Create a basic Python program that simulates an AI chatbot, interacting with users through text and responding intelligently based on their input.

Hello AI

Create a basic Python program that simulates an AI chatbot, interacting with users through text and responding intelligently based on their input.

Restaurant Management System

Create a Restaurant order Management using the Python library Tkinter.

Enhancing the MNIST Digit Classifier

In this assignment, you will build on the concepts you've learned in class to enhance and further explore the MNIST digit classification model. You will modify and improve the neural network to achieve better performance, implement data augmentation to improve model robustness, and experiment with different activation functions and optimizers. This challenge will help reinforce your understanding of neural networks, data preprocessing, and model evaluation.

Rock paper scissors with AI

Develop a Python-based Rock Paper Scissors game where players compete against an AI opponent employing basic strategies to enhance decision-making and programming skills.

Enhance rule based chatbot

Sentiment Spy: Mission report

In this After Class Project, students will extend their understanding of sentiment analysis by building a Python chatbot that can interactively analyze the sentiment of user input. The chatbot will classify text as positive, negative, or neutral, and will provide commands for reporting sentiment statistics, resetting data, and viewing conversation history. The chatbot will also generate a final report of sentiment analysis results when the user exits.

Enhanced AI Chatbot

This After class Projects helps you improve the hello AI chatbot

Rock Paper Scissor App

Write a Python program to create an application to play a rock paper scissor game between a user and the computer, using the Python Tkinter library.