You will get a working ML project that can be used as a mini-project or as main project
Project details
"Introducing our cutting-edge Cyberbullying Tweet Detection System, a powerful tool that leverages Natural Language Processing (NLP) and Machine Learning to accurately identify and flag cyberbullying content on social media platforms. Developed using Python, TensorFlow, NLTK, and Scikit-learn, this innovative solution is designed to help schools, organizations, and social media platforms proactively address the growing issue of cyberbullying.
Our system is trained on a vast dataset of labeled tweets, ensuring high accuracy in detecting harmful content. We've overcome challenges such as imbalanced data and language nuances by employing data augmentation techniques and fine-tuning the NLP model for contextual understanding. The result is a reliable and efficient tool that can significantly improve online safety and foster a more positive digital environment.
Don't let cyberbullying go unnoticed. Equip your platform with our state-of-the-art Cyberbullying Tweet Detection System and take a stand against online harassment. Join us in creating a safer, more inclusive online community for everyone."
Our system is trained on a vast dataset of labeled tweets, ensuring high accuracy in detecting harmful content. We've overcome challenges such as imbalanced data and language nuances by employing data augmentation techniques and fine-tuning the NLP model for contextual understanding. The result is a reliable and efficient tool that can significantly improve online safety and foster a more positive digital environment.
Don't let cyberbullying go unnoticed. Equip your platform with our state-of-the-art Cyberbullying Tweet Detection System and take a stand against online harassment. Join us in creating a safer, more inclusive online community for everyone."
Machine Learning Tools
BERT, ChatGPT, Google Sheets, GPT-3, Keras, Microsoft Excel, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$15
|
Standard
$19
|
Advanced
$25
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 2 | 4 | 6 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$19 - $33
Model Documentation
(+ 1 Day)
+$5Frequently asked questions
About Pranav
ML Engineer | Bug Bounty Hunter | Backend Developer | Data Science |
Curchorem, India - 5:03 pm local time
Steps for completing your project
After purchasing the project, send requirements so Pranav can start the project.
Delivery time starts when Pranav receives requirements from you.
Pranav works on your project following the steps below.
Revisions may occur after the delivery date.
Adding last minutes changes
if there are any last minutes changes of a client that will be addressed