Sunterra Solar Solutions is a machine learning based web app. which include the features;• Online store• Comprehensive order management• Payment integration• Components requirement calculator• Contact management• Email alerts• Solar panel optimal tilt angle using machine learning• Solar panel seasonal tilt angle• Efficient admin panel
Objectives
The project aims reduce on non-renewable energy sources by offering a user-friendly plateform for complete customized solar energy solutions. It provide multiple features in a singlle platfrom including
• making solar energy more accessible and affordable through online store,
• Installation optimization through Machine learning to generate maximum energy output.
• Accurate Components Calculation.
• Email Alerts for keeping the activities insure.
• Comprehensive Order placement.
Socio-Economic Benefit
Sunterra Solar Solution provides a single plateform with multiple features including;
• saves the cost, time, and give more performance using machine learning.
• It can switch the bussinesses to solar.
these features are benificial for the society in terms of economy.
Methodologies
• We implemented backend in Django using PYCharm ide,
• frontend in Bootstrap, CSS, JS, HTML using VSCode editor,
• Machine Learning Model developed using Google Colab.
Outcome
Outcomes include the user friendly web application with machine laerning technique we are getting;
• Best optimal tilt angle for panels installation,
• seasonal tilt angle for panels installation,
• components calculator where you can get your required components with capacity,
• Email alerts on any action,
• Online store,
• Comprehensive Order management.
