Final Year Project: Sentiment Analysis Approach for Reputation Evaluation
An ensemble method for predicting transcription factor in protein sequences
Peer-to-Peer network in python
The DFU_DIALNet_Novel_Approach project focuses on detecting diabetic foot ulcers using machine learning. It introduces a novel deep learning approach, DFU_DIALNet, achieving 99.33% accuracy. The system is integrated with a web app, and includes model explainability through LIME and Grad-CAM.
OWL reasoner for CQ answering combining RSAComb, PAGOdA and a sprinkle of HermiT.
Credit Card Fraud Detection: Combination of both Unsupervised and Supervised Algorithm to detect Fraud in credit cards
Analysing the state of the UK Economy using Sentiment Analysis and Topic Modelling on Twitter.
Applied ideas on using Bezier curves & hybrid tetrations to approximate & fit curves in data.
Code for the paper: PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification
The CAT Optimal Hybrid Solver is a tool designed to tackle the cross array task (CAT) activity designed to assess algorithmic thinking skills in the context of K-12 education.
A personalized anime recommendation system developed using Python, incorporating both collaborative and content-based approaches. The system utilizes user ratings and anime metadata to provide hybrid recommendations, achieving a RMSE of 0.289, MAE of 0.213, and MSE of 0.084 on the test set.
TMDB_5000_Movie_recommendation_system is a repository for a hybrid movie recommendation system. Discover personalized movie recommendations based on user preferences and movie features using the TMDB 5000 Movies dataset.
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