recodehive / Scrape-ML

For new data generation Semi-supervised-sequence-learning-Project we have writtern a python script to fetch📊, data from the 💻, imdb website 🌐 and converted into txt files.
https://scrape-ml.streamlit.app/
MIT License
105 stars 137 forks source link

BikeWatch: Violation Detection & Penalty Estimation #159

Closed Shouryabhardwajj closed 4 months ago

Shouryabhardwajj commented 5 months ago

Description BikeWatch is a web application that analyzes images from cloud storage to identify the number of riders and check for helmet usage. If violations are detected, it captures the number plate, retrieves user details, calculates the penalty, and sends an email notification to the users.

Motivation Ensuring the continuous accuracy and reliability of our models is crucial for maintaining the quality of our service. By monitoring performance metrics and alerting administrators of significant changes, we can promptly address issues and maintain model integrity.

Key Metrics to Monitor Accuracy Precision Recall F1-score AUC-ROC RMSE MAE

Expected Outcome A robust system to track and visualize model performance. Immediate alerts to administrators when performance degrades beyond acceptable thresholds. Historical performance data for analysis and improvement.

@sanjay-kv I would love to work on this issue can you please assign this to me under GSSOC'24 label and make it level 3

github-actions[bot] commented 5 months ago

Thank you for raising a issue, Hope you enjoing the open source. we try to reply or assign as soon possibe. Connect with mentor.

sanjay-kv commented 5 months ago

I see you duplicated the file in ML capsule as well. only contribute same issue in one repo.

Shouryabhardwajj commented 5 months ago

I will remove from there Can you remove that duplicate label

github-actions[bot] commented 4 months ago

This issue has been automatically closed because it has been inactive for more than 30 days. If you believe this is still relevant, feel free to reopen it or create a new one. Thank you!