Machine Learning project : Time series Forecasting

We have to do a project in Machine learning, we choose time series forecasting using a few neural network models like GRU, LSTM. And performed XGboost and Random forest regressor. Also did stacking of XGboost and Random Forest regressor and MLP using GridSearchCV for hyperparameter tuning. All these we’ve implemented are already available everywhere, so we where asked to implement something unique out of these. So i am looking for someone who can help me with this and also write a paper for the whole project. The deadline is April 30th.