Kartik Vinnakota

A dedicated individual passionate about learning new marketing trends & willing to work hard to learn from professionals. Analytical operations specialist with a sound knowledge of identifying & leading efficiency and cost saving initiatives. Adapts and remains flexible while managing multiple tasks at once. Exceptional understanding of improvement plans.

Food Detection and Calorie estimation YOLOv3 & YOLOv5 using Machine Learning: Trained the model to detect the food item and estimate the calories accordingly. Create a diet plan for the individual according to the calorie intake.

Stock Prediction Model: 

The  model predicts the price of stocks using LSTM Recurrent Neural Network., Python, Pandas, Scikit Learn, Streamlit Food Detection and Calorie estimation, Trained the model to detect the food item and estimate the calories accordingly. Create a diet plan for the individual according to the calorie intake., YOLOv3, YOLOv5, Machine Learning.

Starbucks Nutritional Facts:

I developed an infographic design using Tableau, gathering data from Kaggle on Starbucks nutritional facts. I organized the data according to various categories, including calories, sugars, carbohydrates, fats, trans fats, sodium, vitamin A, vitamin C, and cholesterol. The primary focus of this project is to target an audience that is health-conscious and particularly attentive to the nutritional information of their beverages.