My implementation of the research paper - All-in-One: Emotion, Sentiment and Intensity Prediction using a Multi-task Ensemble Framework

CS4472 - Mobile Computing Project. Personal Health Companion App designed to help you achieve a balanced lifestyle.

Analyzing the Drugs Descriptions, conditions, reviews and then recommending the medicines for each Health Condition of a Patient.

"Edith" is a HackHarvard-born AI project enhancing personal wellness by analyzing emotional states through data from wearables like Apple Watches and Fitbits. It's designed to improve user experience and well-being through advanced AI-driven emotion analysis.

A Dashboard demonstrating Sentimental and Emotional analysis of top rated restaurants reviews located in NCR.

This system uses biometric signals, behavioral analytics, and an Agentic AI Avatar to detect and explain stock fraud in real time. Built for fintech, it adapts to market shifts and supports avatar-led investigation and compliance clarity.

2023년 국립국어원 인공 지능 언어 능력 평가: 감정 분석 과제

StimuliXpert improves the synchronization between EEG signals and emotional stimulus and helps the user to report the emotional arousal & valence in real time

参考文献《Convolutional_Neural_Networks_for_Sentence_Classification》实现对贝因美评论的分析

Capstone: Implementation of EEG-based user-friendly music composition algorithm

Edison AT is AI emotional depression program. Developed using Python.

Multi-dimensional evaluation of AI responses using semantic alignment, conversational flow, and engagement metrics.

An open source visual analysis tool based on FER

This project utilizes machine learning and deep learning techniques to perform sentiment analysis on text reviews, automatically categorizing them as positive or negative. It provides valuable insights into user opinions and emotions expressed in textual data.

The project aims at classifying the various reviews on the specified drugs based on their polarity with the aid of their rating (Course: CSL2050 Pattern Recognition and Machine Learning)

Serie de ejercicios para familiarizarse con R

AI-powered Islamic emotional support platform that analyzes Arabic text to provide contextually relevant Quranic verses, authentic duas, and personalized guidance. Built with React, Node.js, Firebase, and OpenAI GPT-4o-mini.