Make a chat bot using model from groq. The bot will work on below idea it is mechanical feild related so make sure it works for every machine.
“Failure Diagnosis Bot” – Machine Fault Analyzer
Inspiration: Tesla employs differential privacy when collecting vehicle telemetry for autonomous driving improvements
What it does: Helps users diagnose common mechanical system failures based on symptoms and suggests causes + remedies.
How we built it: Use model from groq and deploy it on hugging face. Make a chat bot for model fine tuning, use streamlit for interface , two files to deploy app.py and requirements.txt
Challenges we ran into: Mishandled AI training data can lead to financial penalties, reputational damage, and loss of customer trust in today's regulatory environment.
Accomplishments that we're proud of: heck oil levels, inspect gear wear, and much more on diagnostics
What we learned: Data security is essential 4 not optional, Ethical handling of data builds trust, Proactive security drives innovation
What's next for Failure Diagnosis Bot – Machine Fault Analyzer: create competitive advantage, Security efforts, building strong data, security habits today
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