NivelMate is a service that uses machine-learning algorithms to grade essays. It takes in thousands of existing essays and scores and incorporates NLP models to create an accurate essay evaluator. This approach enables NivelMate to provide an accurate, consistent, and objective evaluation of essays across a wide range of topics, rubrics and writing styles .

We preprocessed training data (essays with scores) by removing stop words and clustering the words together.

We used a BERT model to generate embeddings for the essays that could be used for training.

We used a Long short-term memory (LSTM) network created in Torch to take in the embeddings and train.

You can clone our repository:

git clone https://github.com/qi116/essay-grader.git

Try our pre-trained model to grade your essays.

We used the dataset from https://www.kaggle.com/c/asap-aes/data to train our model.

Navigate to the essay-grader/api folder

Run app.py

python app.py

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.