Inspiration
The world is facing a dual crisis of excessive waste accumulation and dependence on fossil fuels. Conventional fuels like petrol and diesel contribute significantly to carbon emissions, accelerating climate change. At the same time, waste mismanagement leads to environmental hazards such as landfills, water pollution, and greenhouse gas emissions.
What it does
AI-Powered Digital Twin Using sensor data, AI, and simulations, the digital twin predicts optimal operating conditions, detects inefficiencies, and optimizes energy use—without affecting the real system. By leveraging AI-powered Digital Twin technology, this solution provides an intelligent, data-driven approach to transforming waste into sustainable biofuels. It enables real-time monitoring, optimized fuel production, and enhanced decision-making, making it a viable replacement for petrol and diesel.
How we built it
We have made it using MATLAB for AI implementation and we have used BLENDER tool to create a 3D design for more clarification.
Challenges we ran into
we have found it difficult to simulate code in MATLAB .We have face many issue in implementing AI.
Accomplishments that we're proud of
We're proud of making a successful project with a simulation. We have also created 3D video.
What we learned
We have learnt many things like how to use MATLAB and BLENDER ,how to use AI. Importantly , how to be consistent in work.
What's next for WASTE-TO-FUEL CONVERSION
There is more possible ways for this: 1.Using sensors for sorting process 2.Using sensors for calculating the process, etc.,
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