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adithya-s-k / World-of-AI

WORLD OF AI : An open-source repository for AI-based projects 🚀, from beginner to expert level, helping contributors start their journey in Artificial Intelligence and Deep Learning. Our projects provide hands-on experience to real-world problems👨‍💻. Join our community and contribute to the development of AI-based solutions 👥.
https://www.cognitivelab.tech/
MIT License
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Fake News Detection [GSSOC'23] #55

Open Durga-Sowjanya-Sanku opened 1 year ago

Durga-Sowjanya-Sanku commented 1 year ago

Project Request

Field Description
About A Machine Learning model will be used for detecting the fake news. We can use models like RandomForestClassifier, Logistic Regression, SVM to deal with this dataset. It would be really helpful for those who want to deal with text data so they can know how to process the data and apply different encoding techniques.
Github Durga-Sowjanya-Sanku
Email snkdurgasowjanya@gmail.com
Label Project Request for GSSOC'23

Github: https://github.com/Durga-Sowjanya-Sanku

Define You

Project Name

Fake News Detection

Description

The dataset Consists of the text, title, subject and date and we need to predict if that is a fake news or not.

Scope

This model helps user to understand which is fake news and which is not. Also helps the learner to deal with such datasets

Timeline

Start Date : Date of Assigning End Date : Start Date + 9 Days

Durga-Sowjanya-Sanku commented 1 year ago

I would like to work on this. It will be really helpful for others to learn ML hands on with such datasets Can you please assign this to me @adithya-s-k

miraj0507 commented 1 year ago

I am thrilled to receive your project request! Your idea is truly fascinating and I am eager to see it come to life.

To ensure the project runs smoothly, please follow all guidelines provided. If you are working on an AI, ML, or DL project, we kindly ask that you create a folder for your project within the respective folders and submit your progress accordingly. Please do follow the project readme template

To ensure that everyone has a fair chance to participate, we kindly request that you complete 75% of the work within the first week of receiving the issue, and the remaining 25% within the next 3 days(10 days in total). If for any reason, you fail to meet this deadline, we will assign the task to someone else who is equally enthusiastic about contributing to this project.

If you have any questions, feel free to contact me via email or Discord or reach out to our team of project mentors.

Thank you for your contribution and let's make this project a huge success!