Athiyaman M's Projects
Complete code for to adding image in flutter.
Predict annual spending of a user on an Ecommerce website
GitHub Profile Interface.
My Portfolio website
This web application is designed to convert audio files to text using the Streamlit web framework and the Whisper OpenAI model.
• This deep learning model is developed to classify and identify different types of brain tumors, as well as determine their existence, using Convolutional Neural Networks. This is achieved through the training and testing of 3264 MRI images.
Developing Power BI reports and dashboards to analyze e-commerce sales data. This could involve visualizing sales trends, customer behavior, product performance, and marketing campaign effectiveness.
E-commerce sales forecasting predicts future sales based on historical data, market trends, and various other factors. Traditional methods often need to capture the complexity of the ever-changing online market. Here’s where Machine Learning steps in, transforming the way businesses make informed decisions.
Secure File Encryption and Decryption
Analyzing doctor visit data using Python tools can provide valuable insights into various aspects of healthcare
College ERP site
This project is a Medical ChatBot built using the Llama-2 model and Python, designed to provide accurate medical information. It uses a robust backend for data processing and a user-friendly frontend, leveraging technologies like Langchain, Flask, and Pinecone.
This Python script uses Scapy to perform ARP scanning on a local network, discovering devices and listing their IP and MAC addresses in a clear format. It's a valuable tool for network management and security tasks.
Analysis of crop production over the past 19 years data which includes area, production, types of crops and different places in india.
Training Participants Visualization with Power BI