Projects

1. A Content Based Movie Recommended System

This project’s objective is to provide user with related content selected from relevant and irrelevant objects from different

collections. The Suggested movie recommendation system provides greater similarity metrics and quality

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2.  Naive Bayes Classifier for Sentiment Analysis on Rotten Tomatoes Reviews Dataset

In this project, The Rotten Tomatoes dataset from Kaggle to build a Naive Bayes classifier for movie reviews. The dataset consists of thousands of reviews from Rotten Tomatoes, a popular movie review website. Our goal is to predict whether a review is "fresh" or "rotten" based on the text of the review.

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3. Building a Mango Leaf Disease Classifier using Keras

Mango leaf diseases can cause significant damage to mango trees and reduce the yield of the crop. Identifying and treating these diseases in a timely manner is critical for maintaining the health of the trees and maximizing the harvest. In this Project, we build a mango leaf disease classifier using Keras that can identify different types of mango leaf diseases based on images of the leaves.

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4. A Smart Stick for Visually Impaired People Using Raspberry Pi

This project investigates methods and procedures to construct an efficient system to assist blinds in their everyday life.

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5. Personal Assistant (Zira) 

 Draws its inspiration from virtual assistants like Cortana for Windows, and Siri for iOS. Users can interact with the assistant through voice commands

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