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AI Data Science Hackathon Machine Learning
April 1, 2023

Shell.ai Hackathon for Sustainable and Affordable Energy 2023

The Shell.ai Hackathon organized in 2023 with a theme of sustainable and affordable energy presented a challenge to predict biomass production for the future years and design an efficient demand supply chain for the same by leveraging the provided data of the Gujarat State in India. An intelligent model was trained followed by an efficient demand supply chain with an accuracy rate of 76.765%, which was successfully deployed and ranked among the Top 10 teams worldwide.

  • Platform

    HackerEarth

  • Team Size

    4 Members

  • Role

    Leader

  • Model Score

    76.765

  • Rankings

    Top 10 (Worldwide)

  • Tags

    Hackathon, Prediction, Shell

Shell.ai

The Challenge

Hackathon

Shell. ai Hackathon for Sustainable and Affordable Energy 2023

The Shell.ai hackathon organized in 2023 was based on the theme of sustainable and affordable energy, with a challenge to develop and design an intelligent AI solution for the cleaner energy.

There were two primary tasks to complete as per the given problem statement:

  1. Prediction of biomass production in the future years using past time series data.
  2. Designing of an efficient demand-supply chain for biomass transportation considering given constrains and cost-factor.
Pathway

The Approach

Understanding

Brainstorming

  • Problem Statemnt
  • Model Architecture
  • Demand Supply Design
Machine Learning

Model Training

  • Data Analysis
  • Model Building
  • Tuning/Optimization
Chain Design

Demand Supply

  • Map Analysis
  • Idea-to-Code
  • Optimized Locations
Preview

Model Predictions

By Numbers

Different Combinations

Insight

Challenge by Numbers

0

Different Algorithms Tried

0

Model Optimizations and Re-runs

0

Different Demand-Supply Chains Tested

Avg Model Score
0%
Comparison Results

Biomass Prediction 2018 Vs. 2019

Before After
The Epochs

Model Improvements

00%

Model accuracy - Stage 1

00%

Model accuracy - Stage 2

00%

Model Accuracy - Stage 3

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