Local Chapter Aswan, Egypt Chapter
Coordinated byEgypt ,
Status: Completed
Project Duration: 27 Jan 2023 - 27 Mar 2023
Open Source resources available from this project
Project background.
The spread of hate speech and fake news is a serious side effect of expanding social networks. Most of the time covered by anonymity, social network users feel more comfortable speaking hate or disseminating fabricated information as opposed to real life, where they have to confront the consequences of what they say. All major social networks make an enormous effort to deal with such a problem, and machine learning is a powerful tool in this arena.
The problem.
We want to avoid the impacts of hate speech and fake news in our homes that would negatively affect our friends and families especially: children as they are the least expert with technology. As a result, we would use our technology experience to tackle this problem and provide a safe environment to them.
Project goals.
Project plan.
Week 1
Data Collection
Week 2
Data Pre-Processing
Week 3
Exploratory Data Analysis
Week 4
Create language model (1)
Week 5
Create language model (2)
Week 6
Train data on various models
Week 7
Test data on various models
Week 8
Deploy the system as API
Learning outcomes.
1. The participants will deploy their data analysis skills: (such as data wrangling and preprocessing, problem solving using python,…etc.)
2. Practice Machine learning as well as neural nets background in a real-world project, in order to enrich their experience and skilling new fields (e.g. NLP and more advanced machine learning algorithms).
3. Offer a solution that may serve in solving the challenge they face.
