Discover @mohammed97ashraf Open Source projects

Mohammed Ashraf (@mohammed97ashraf)

mohammed97ashraf

Stars
37
Global Rank 421,862 (Top 15 %)
Followers 14
Following 1
Registered almost 6 years ago
Most used languages

Python
36.4 %

HTML
27.3 %

Jupyter Notebook
27.3 %

R
9.1 %
Location 🇮🇳 India
Country Total Rank 25,882
Country Ranking

R
510

Jupyter Notebook
2,579

HTML
3,471

Python
8,763

Fake_news_Detection

This project is for Fake News Detection using NLP and Machine Learning. And then Deploying it using Flask.

Jupyter Notebook

LLM_Agri_Bot

This Chatbot helps farmers make informed decisions by leveraging the power of LLM Model from OpenAI.

chat-react-csv-bot

Chat-React-CSV-Bot is a sophisticated conversational agent engineered with OpenAI's GPT-3.5 model and React agent. This project integrates natural language processing capabilities to develop a chatbot adept at comprehending and generating responses to user inquiries.

Real-time-Handwritten-Digit-Recognition

In this project, we are going to build a handwritten digit recognition app using the MNIST dataset, Tkinter,cv2, and Convolutional Neural Network.

Sentiment-Analysis-Using-Unsupervised-Lexical-Models

Jupyter Notebook

Real-Time-Face-Mask-Detector-Using-OpenCV-And-Keras

In this project, We will build a real-time system to detect whether the person is wearing a mask or not

Python_projects_beginners

Basic Python Projects for beginners

Agricultural-crop-production-prediction-Analytics

Use of Data mining techniques to Predict the crop production

web-scraping-usingLLM

This repository showcases a universal web scraping agent powered by Large Language Models (LLMs), simplifying web scraping by abstracting away the need for manual HTML parsing.

Langchain-gemini-pro-guide

This is step by step guild to use gemini pro with langchain

Jupyter Notebook

mohammed97ashraf

LexiAnalyzer

Lexicon-based Sentiment Analysis Made Easy LexiAnalyzer API offers a seamless way to integrate lexicon-based sentiment analysis into your applications.