Building @DesignDuh | Empowering startups | AI&ML Engineer | SDE

Praharsha Nelaturi  • Peerlist

Introducing the Metabometer system: a groundbreaking technology that revolutionizes health and fitness monitoring by providing real-time insights into individual metabolic rates and calories burned. Utilizing advanced machine learning algorithms, it accurately predicts metabolic rates based on heart rate and activity levels. This user-friendly application delivers personalized feedback, empowering users to optimize their fitness activities and achieve their goals.

Metabometer 

Our project aims to alleviate this problem by
developing a simple prediction model that can forecast a company's profits,
sales, and other important performance metrics based on existing data. Our
tool can handle small amounts of data, which is sufficient for many small
businesses. Our tool will be made available on a website where the user will be
able to interact with various aspects of the tool.

Sales Prediction 

Stock Market prediction using Machine Learning  to analyse the future value of company stocks using Linear Regression and LSTM in Python. Built machine learning and deep learning algorithms using time series data.

Stock Price prediction 

The "Uber Data Analysis using R" project addresses the need to extract actionable insights
from the extensive data generated by Uber rides. This analysis aims to understand the
temporal and spatial distribution of rides, identify peak usage periods, and uncover factors
influencing ride demand, such as weather and public holidays. By leveraging R's data
manipulation and visualization capabilities, the project seeks to provide Uber with valuable
insights to optimize service delivery, enhance operational efficiency, and improve customer
satisfaction.