Building a Conversational AI Chatbot for Alternative Transportation During Strikes in France
Challenge Background
The current social crisis in France is resulting in repetitive general strikes. These strikes often have a significant impact on transportation in Île-de-France. For example, train drivers’ strikes can lead to many train cancellations and the disturbance of transportation schedules. Strikes led by bus drivers, subway agents, and other public transport workers also lead to a significant disturbance whereas the citizens struggle to arrive at their workplaces, universities, etc.
The Problem
During a strike day, users may struggle to find reliable and accurate information about alternative transportation in Ile-De-France. The current transportation infrastructure lacks an efficient and effective way to provide transport users with personalized information and assistance.
Goal of the Project
The goal of this project is to develop a chatbot application that helps the citizens in the Ile-De-France by providing them with reliable and accurate information about alternative transportation on strike days.
Project Timeline
Data collection: Identify data sources and collect data
Data collection and cleaning process
EDA: Exploratory data analysis
Testing NLP techniques, development of chatbot
Deployment of the chatbot
What you'll learn
Machine Learning/ Deep Learning, NLP
First Omdena Local Chapter Project?
Beginner-friendly, but also welcomes experts
Education-focused
Duration: 4 to 8 weeks
Open-source
Your Benefits
Address a significant real-world problem with your skills
Build your project portfolio
Access paid projects (as an Omdena Top Talent)
Get hired at top organizations
Requirements
Good English
Suitable for AI/ Data Science beginners but also more senior collaborators
Learning mindset
Application Form
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