This sniper bot on the Solana network specializes in swiftly buying 'shitcoins' while spotting tokens poised for growth.

The objective is to design a machine learning model capable of accurately counting repetitions and classifying weightlifting exercises based on data collected from accelerometer and gyroscope sensors. The project began with meticulous data collection and preprocessing to ensure suitability.

DeepLeaf: CNN-based potato disease classification. Utilizes TensorFlow, Keras, and FastAPI. Frontend designed with HTML/CSS/JS. Android app (PotatoPathoGuard) developed in Android Studio. Enables precision agriculture through on-device disease detection.

Analysis of Denver crime records from January 2018- October 2023

Data Analysis Website

This repository contains a collection of lab experiments for the Machine Learning course offered. Each experiment is designed to provide hands-on experience with various machine learning concepts and techniques. The experiments are primarily conducted using Python and its popular libraries for machine learning and data analysis.

dimensionality Reduction with python- bioinformatic

End-to-end project to predict and segment customers. (clustering problem)

9-Qubits Shor's Code for Quantum Error Correction (QEC)

Working on small dataset which has 26k records.

Data Exploration, Data Cleaning, Data Visualisation and Interative Narrative Application

Projeto final tcc

This project aim to classify real time facial emotion recoginition to either of one of the universal seven emotions using Deep convolutional neural network(CNN) learning and openCv

Extract data from New York times driven data for a future research.