Amogh Rao
Amogh Rao
LearnSnc
Navigating-Learning-Opportunities
Designed With 😇 :
Course recommendation systems are tools designed
to suggest relevant courses to users, based on their interests and
previous interactions. These systems play a crucial role in
providing personalized learning experiences and guiding users
toward courses that align with their goals. The inclusion of the
NIRF rating enables informed reliance on colleges and universities
to be made. A user interactive chatbot is designed to reduce
customer service time and effort for users by providing them with
instant help and advice. Students follow up with the progress of
the educational field with news-worthy events such as topical
courses and knowledge that direct continuous learning. All these
have been integrated in single project work by using flask (python)
in the backend and HTML and CSS in frontend. Various ML
algorithms, such as K-means clustering for prediction, Random
Forest Regression for NIRF ranking, and WordNetLemmatizer
for interactive chatbot, are used to build this project. Accuracy of
all these models lies between 84%-89%. News API is used for
fetching all news from worldwide related to the educational field.
Various data sets have been used to train different models. Overall
project is designed similarly to other learning platforms such as
Byju's, Unacademy, and many more.
Problem it solves 🙅♂️
- The objective of ART Finder is to streamline the research phase of ad creation by automating data gathering and analysis.
Challenges I ran into 🙅♂️
- Installing the setup and workflow