A Drug Discovery method using CHEMBL database, Lipinski Parameters, molecular fingerprint (padel) for SARS coronavirus 3C-like proteinase.

Machine Learning Academic Project

The Compressive Strength Predictor is an android application that utilizes ML model trained on dataset and an Flask API deployed on AWS EC2 instance to estimate the compressive strength of a material based on four input parameters: Grade, UPV (Ultrasonic Pulse Velocity), Rebound, and Age

Heart Disease Prediction using machine and deep learning techniques works on heart dataset

Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, JSON, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.

This project is a web application designed to predict credit card worthiness using a machine learning model .

🔐 PDF Malware Detection using LSTM A machine learning project that detects malicious PDF files using an LSTM-based model. It extracts structural features from uploaded PDFs and predicts whether the file is safe or harmful, with up to 99% accuracy. Includes a user-friendly web interface built with Flask for real-time detection.

EquiInsight is a specialised user-friendly platform made for investors, analysts, and financial professionals who specialise in equity markets. It is intended to make information retrieval simple. To get pertinent insights from the stock market and financial sphere, users can ask queries and input the URLs of articles.

Industrial Copper Modeling optimizes pricing decisions using advanced ML. Predict sales with accuracy, classify leads, and streamline decision-making.

"Empower your messaging experience with our spam SMS classifier! Instantly distinguish between spam and legitimate messages, helping you prioritize and manage your inbox effectively."

PDFAssist is an innovative tool designed to empower users from all walks of life—researchers, students, and everyday individuals—by providing them with a seamless way to interact with their PDF documents. Whether you're conducting in-depth research, studying for exams, or simply need quick access to information within a PDF.

End-to-End Machine Learning project I made as a machine learning intern @ Mentorness

A simple Discord bot to manage your grocery list. Add, list, remove, and clear items using chat commands.

A simple reader with GUI, for pickle files.

My first ever project on Machine Learning for DevTown. Simple use of linear regression on Collab and flask web framework.

It seems like you have a project that involves modeling industrial copper data using Python and several libraries such as pandas, numpy, and scikit-learn. This is a common and practical approach, as these libraries are widely used for data manipulation, analysis, and machine learning tasks.

flask based web app used to detect spam messages using machine learning

Classify tweets as positive or negative using the Naive Bayes classifier with NLTK. This project processes tweets from the `twitter_samples` dataset, extracts features, and trains a sentiment analysis model.

Aplicação web onde você consegue treinar um modelo de Machine Learning para classificar uma pessoa como do sexo masculino ou feminino com base em seu nome.

Learning Style Advisor is an intelligent web application that predicts an individual’s preferred learning style based on their responses to a questionnaire. Built using Flask and powered by a machine learning model, this project helps users understand whether they are a Visual, Auditory, Kinesthetic, or Mixed learner. The application collects user