srtsubham/Minor_Project_Ambaram_Sentinel
Minor Project on the topic of "AI Weather Prediction Model for Extreme Weather Events." Version 3.1.0
What's novel
Minor Project on the topic of "AI Weather Prediction Model for Extreme Weather Events." Version 3.1.0
Code Analysis
9 files read · 3 roundsA Streamlit dashboard that generates random weather event data points (using Python's random module and hardcoded seed coordinates), stores them in SQLite, and displays them on a PyDeck map with a fixed-vector 'prediction' animation, wrapped in a polished CSS-animated frontend site.
Strengths
The PyDeck visualization is functional and visually appealing, and the Streamlit app structure with query-param-based views is a reasonable pattern for embedding. The frontend animation site shows effort in presentation design.
Weaknesses
The core 'AI prediction' is a 3-layer MLP trained on 13 identical rows, and the actual dashboard predictions use a hardcoded vector offset rather than the model. All weather data is randomly generated, not derived from satellite telemetry. The alerts module has a missing import and placeholder credentials.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
55
Contributors
1
Files
33
Active weeks
7
Repository
Language
Python
Stars
1
Forks
0
License
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