Shenal's shit

StackOverflow web-based application in python with flask framework based on MVC architecture. Worked with MYSQL database and sqlalchemy ORM model to handle data. The user can ask a question, post answer, upvote, downvote, comments, views, search, answer later, bookmark.

BERT fine tuning implementation used for Question Answering on the SQuAD dataset.

Question Answering is a website harnesses the power of Natural Language Processing to enable users to ask questions and receive relevant answers. Simply input your text, ask your question, and our system will response, making it easy to interact with information using natural language.

Learn to Code with OSCSA

my educational website for entrance exam of quizz type question

Web Data Mining Course Project

Config files for my GitHub profile.

Connects to OpenAI, applies Large Language Models (LLMs) & LangChain, and builds a platform to chat with coffee customer review text data using Python. Visualizes text data with R

blog

issue for starter-راه حل های ساده برای مبتدیان و تازه کارها

In this work we will study the construction of a system of answering questions, question answering systems have always been a major branch of AI and NLP

StackOverflow is a web-based application in python programming with flask framework and MVC architecture.

Syllabus Reader is a smart application and is your best guidance for academic support. The reader analyzes PDF for keywords and answers your questions in simple text.

demo link - Project Demo Link - https://drive.google.com/file/d/1VRxPvPBDAQYC9fCT-XplrTzsymZtaH7w/view?usp=sharing

BERT QnA API to answer prompts based on Context. (Using CDN)

AskShela : Chatbot for usm QnA for postgraduate (depreciated)

WildQA website code

A Question Answering system to serve answer to indonesian law related question