Hi, I'm Srinivas

House Price Predictor

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Analyzed the Bangalore area Housing dataset with 13 different features by using linear regression.I have Adapted the model and developed a website with a model having R2 score of 75-80% using flask framework. The Technologies used: Python, Flask, Jupiter Notebook, Machine Learning Algorithms.

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Electricity Bill data management

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Electricity bill data management is a website where users can easily pay their dues of electricity bill. Also the admin can keep track of the pending bills if any.The database in this website helps to query the different users transaction details. For the front end i used html,css,javascript as well as bootstrap css. And the backend using php and is statically ran over phpMyadmin using MySQL.

Big Mart Sales Prediction

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Computer Graphics mini project built using c++ language and OpenGL graphics library where the bellman-ford algorithm is implemented.This algorithm finds single source shortest path from all nodes.