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Frostday/IMRDb

Stars
1
Language
HTML
License
MIT License
Created about 4 years ago
Updated over 3 years ago

Frostday/IMRDb

Frostday

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Internet Movie Recommender Database is a website made using HTML, CSS, and Django which uses deep learning to recommend movies to users according to their preferences. An autoencoder trained on the ml-25m dataset using Pytorch was used for making the actual recommendation.

Model-Predictive-Controllers

Making model predictive controllers for making a Self-Driving or Autonomous Car follow the speed limit, pull into parking spaces, and avoid obstacles.

Lane-Segmentation

Lane segmentation done using Tensorflow framework in Python and trained on CU Lane dataset.

Shop-App

A flutter e-commerce app which allows users to buy and sell items.

Emotion-Detection

Detecting emotions of a person in real-time using deep learning. This project was made using Tensorflow and OpenCV.

Jupyter Notebook

newsILY

A website that allows its users to search for the most relevant news articles related to a particular topic. It uses NLP to extract important information from the news articles (NER), provides a summary of the news article and also performs sentiment analysis on the news article.

Jupyter Notebook

RedBot

RedBot is a chatbot trained on Reddit comments dataset using a transformer model in Python using Tensorflow framework. Also tkinter has been used to create a GUI which allows the user to interact with the chatbot.

Jupyter Notebook