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Machine Learning

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Homestay Management System

Homestay management system that can input data, search data, edit data, book rooms, edit room booking status, and delete hotel room data.

Github 

Processing Image

Image processing includes scaling, rotation, flipping, and translation. Images are often converted to grayscale for analysis. Calculating the RGB matrix helps to understand the distribution of colors in an image.

Github 

ChordBot Telegram

Telegram bot created to easily search for guitar chords of a song. Chordbot is created using the python programming language and uses botfather to get api tokens.

Github 

Web Encryption using Vigenere Chiper

An encryption web created to encrypt document files using the vigenere chiper with encryption keys permanently assigned to the web system.

Github 

Machine Learning Classification

Analyzing and classifying to estimate whether an employee has a tendency to resign from his/her job or not (Yes/ No). Classification is done using various machine learning models namely Decision Tree, Naive Bayes, Random Forest, K-NN, MLP and SVM.

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Evolving Neural Network

The `EvolvingNN` program for optimizing neural networks uses a genetic algorithm. Starting with a random neural network population, the program evaluates and selects the best individual based on RMSE, performs crossover and mutation, and generates an optimized neural network. The performance of each generation is recorded and displayed in a graph.

Github 

Genetic Algorithm to solve the Knapsack

Implementation of a genetic algorithm to solve the knapsack problem. This problem aims to select items with specific weights and values so that the total weight does not exceed the maximum capacity of the backpack, but the total value is maximized. The program searches for the combination of items that gives the maximum value within the existing capacity limit.

Github 

Machine learning using K-Means Clustering

Machine learning using K-Means Clustering on public dataset "Iris Dataset" sourced from kaggle.

Github 

Machine learning using Naive Bayes Classifier

Machine learning using Naive Bayes Classifier with GaussianNB on public dataset "Iris Dataset" sourced from kaggle.

Github 

Machine learning using K-Nearest Neighbor (KNN) Algorithm

Machine learning using Naive Bayes Classifier with KNeighborsClassifier model from sklearn library on public dataset "Iris Dataset" sourced from kaggle.

Github 

Decision Tree

Machine learning using Decision Tree on public dataset "Iris Dataset" sourced from kaggle.

Github 

Crawling Data from Twitter

Crawling Data from Twitter on the topic of lgbt which then the data will be analyzed sentiment. Crawling is done using api access from twitter.

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Sentiment Analysis using NBC

Sentiment analysis using Naive Bayes Classifier on LGBT data obtained from crawling twitter data. Sentiment analysis aims to classify public opinion on twitter about LGBT whether negative or positive.

Github 

Sentiment Analysis of #LGBT Twitter Trending using KNN Classifier Method

Sentiment Analysis of #LGBT twitter trending using KNN Classifier method is done in the form of a team, I with 4 of my friends do sentiment analysis starting from crawling data, cleaning, labeling to classification.

Github 

Enha Plate 

Enha Plate is a plate recognition technology used to detect and recognize characters on vehicle license plates. The system utilizes image processing algorithms and artificial intelligence to automatically read and identify vehicle license plate numbers, which is useful in various applications such as automated parking systems, traffic monitoring, and security surveillance.

Github 

Detection of Anthracnose using CNN

Anthracnose detection using CNN involves applying Convolutional Neural Networks (CNN) to identify and classify anthracnose disease in red chili images. By training CNNs on images of healthy and infected red chili peppers, the model learns to recognize characteristic patterns and symptoms of anthracnose. This approach enables accurate and automated detection, helping in early diagnosis and effective disease management in red chili plants.

Github