Predicting University Scores Using Machine Learning

See beyond, Choose Wisely

Comment

Inspiration

Our inspiration for ENVISIONING SUCCESS Using machine learning stems from the need to empower students and their families with a tool that facilitates informed decision-making in higher education. Recognizing the pivotal role universities play in shaping academic and professional trajectories, we aim to provide a predictive score system that considers essential characteristics to guide individuals towards institutions that align with their educational goals.

What it does

Envisioning Success is a web application designed to predict the score of universities based on critical parameters such as quality of education, alumni employment, quality of faculty, publications, influence, citations, and patents. Users can input specific university characteristics, and the application employs machine learning models to generate a score, aiding students in selecting institutions that best suit their academic aspirations.

How we built it

  1. Gathered a comprehensive dataset with relevant university information.
  2. Conducted data cleaning and preprocessing to ensure data quality.
  3. selected and trained machine learning models for score prediction.
  4. Developed a user-friendly web application using Flask, providing an intuitive interface for users to input university characteristics.
  5. Deployed the application on a hosting platform for accessibility.

Challenges we ran into

  1. Ensuring data accuracy and integrity during the cleaning process
  2. Selecting the most suitable machine learning model for accurate score prediction
  3. Creating an efficient and visually appealing user interface within the constraints of web development

Accomplishments that we're proud of

  1. Successfully implementing a machine learning model that accurately predicts university scores
  2. Creating a user-friendly web application that simplifies the decision-making process for prospective students
  3. Overcoming challenges in data preprocessing and model training to achieve reliable predictions
  4. Deploying the application, making it available for users to benefit from our predictive scoring system.

What we learned

Effective data preprocessing techniques to enhance model performance. Selecting and optimizing machine learning models for regression tasks

What's next for ENVISIONING SUCCESS Using Machine Learning

Incorporating additional features and parameters for a more comprehensive scoring system. Enhancing the user interface to provide more detailed insights into university scores Collaborating with educational institutions to continuously update and improve the predictive model Seeking user feedback and implementing iterative improvements to ensure the application remains a valuable resource for students and their families

Share this project:

Updates