A curated list of practical deep learning and machine learning project ideas
- 30+ ideas
- Relevant to both the academia and industry
- Ranges from beginner friendly to research projects
-
Text - With some topics about Natural language processing
-
Forecasting - Most of the topics in this section is about Time Series and similar forecasting challenges
-
Vision - With topics about image and video processing
-
Covid19 - Multi or Single Domain ideas from the Covid19 theme
-
Music and Audio - These topics are about combining ideas from language and audio to understand music
-
Bing Coronavirus
- Classify Bing Queries as either specific (e.g. about a specific location) or generic. You might have to figure out a more exact definition of specific or generic though
- Dataset: BingCoronavirusQuerySet
-
Covid Clinical Data
- Rank and sort high risk patients using clinical data. Pick an interpretable approach if you can.
- Dataset: CovidClinicalData
If you haven't already, checkout Kaggle's Covid19 Section as well. It has datasets and ideas both.
-
Autonomous Tagging of StackOverflow Questions
- Make a multi-label classification system that automatically assigns tags for questions posted on a forum such as StackOverflow or Quora.
- Dataset: StackLite or 10% sample
-
Keyword/Concept identification
- Identify keywords from millions of questions
- Dataset: StackOverflow question samples by Facebook
-
Topic identification
- Multi-label classification of printed media articles to topics
- Dataset: Greek Media monitoring multi-label classification
-
Automated essay grading
- The purpose of this project is to implement and train machine learning algorithms to automatically assess and grade essay responses.
- Dataset: Essays with human graded scores
-
Sentence to Sentence semantic similarity
- Can you identify question pairs that have the same intent or meaning?
- Dataset: Quora question pairs with similar questions marked
-
Fight online abuse
- Can you confidently and accurately tell whether a particular comment is abusive?
- Dataset: Toxic comments on Kaggle
-
Open Domain question answering
- Can you build a bot which answers questions according to the student's age or her curriculum?
- Facebook's FAIR is built in a similar way for Wikipedia.
- Dataset: NCERT books for K-12/school students in India, NarrativeQA by Google DeepMind and SQuAD by Stanford
-
Social Chat/Conversational Bots
- Can you build a bot which talks to you just like people talk on social networking sites?
- Reference: Chat-bot architechture
- Dataset: Reddit Dataset
-
Automatic text summarization
- Can you create a summary with the major points of the original document?
- Abstractive (write your own summary) and Extractive (select pieces of text from original) are two popular approaches
- Dataset: CNN and DailyMail News Pieces by Google DeepMind
-
Copy-cat Bot
- Generate plausible new text which looks like some other text
- Obama Speeches? For instance, you can create a bot which writes some new speeches in Obama's style
- Trump Bot? Or a Twitter bot which mimics @realDonaldTrump
- Narendra Modi bot saying "doston"? Start by scrapping off his Hindi speeches from his personal website
- Example Dataset: English Transcript of Modi speeches
Check mlm/blog for some hints.
-
Sentiment Analysis
- Do Twitter Sentiment Analysis on tweets sorted by geography and timestamp.
- Dataset: Tweets sentiment tagged by humans
-
De-anonymization
- Can you classify the text of an e-mail message to decide who sent it?
- Dataset: 150,000 Enron emails
-
Univariate Time Series Forecasting
- How much will it rain this year?
- Dataset: 45 years of rainfall data
-
Multi-variate Time Series Forecasting
- How polluted will your town's air be? Pollution Level Forecasting
- Dataset: Air Quality dataset
-
Demand/load forecasting
- Find a short term forecast on electricity consumption of a single home
- Dataset: Electricity consumption of a household
-
Predict Blood Donation
- We're interested in predicting if a blood donor will donate within a given time window.
- More on the problem statement at Driven Data.
- Dataset: UCI ML Datasets Repo
-
Movie Recommender
- Can you predict the rating a user will give on a movie?
- Do this using the movies that user has rated in the past, as well as the ratings similar users have given similar movies.
- Dataset: Netflix Prize and MovieLens Datasets
-
Search + Recommendation System
- Predict which Xbox game a visitor will be most interested in based on their search query
- Dataset: BestBuy
-
Can you predict Influencers in the Social Network?
- How can you predict social influencers?
- Dataset: PeerIndex
-
Image classification
- Object recognition or image classification task is how Deep Learning shot up to it's present-day resurgence
- Datasets:
- CIFAR-10
- ImageNet
- MS COCO is the modern replacement to the ImageNet challenge
- MNIST Handwritten Digit Classification Challenge is the classic entry point
- Character recognition (digits) is the good old Optical Character Recognition problem
- Bird Species Identification from an Image using the Caltech-UCSD Birds dataset dataset
- Diagnosing and Segmenting Brain Tumours and Phenotypes using MRI Scans
- Dataset: MICCAI Machine Learning Challenge aka MLC 2014
- Identify endangered right whales in aerial photographs
- Dataset: MOAA Right Whale
- Can computer vision spot distracted drivers?
- Dataset: State Farm Distracted Driver Detection on Kaggle
-
Bone X-Ray dompetition
- Can you identify if a hand is broken from a X-ray radiographs automatically with better than human performance?
- Stanford's Bone XRay Deep Learning Competition with MURA Dataset
-
Image Captioning
- Can you caption/explain the photo a way human would?
- Dataset: MS COCO
-
Image Segmentation/Object Detection
- Can you extract an object of interest from an image?
- Dataset: MS COCO, Carvana Image Masking Challenge on Kaggle
-
Large-Scale Video Understanding
- Can you produce the best video tag predictions?
- Dataset: YouTube 8M
-
Video Summarization
- Can you select the semantically relevant/important parts from the video?
- Example: Fast-Forward Video Based on Semantic Extraction
- Dataset: Unaware of any standard dataset or agreed upon metrics? I think YouTube 8M might be good starting point.
-
Style Transfer
- Can you recompose images in the style of other images?
- Dataset: fzliu on GitHub shared target and source images with results
-
Chest XRay
- Can you detect if someone is sick from their chest XRay? Or guess their radiology report?
- Dataset: MIMIC-CXR at Physionet
-
Face Recognition
- Can you identify whose photo is this? Similar to Facebook's photo tagging or Apple's FaceId
- Dataset: face-rec.org, or facedetection.com
-
Clinical Diagnostics: Image Identification, classification & segmentation
- Can you help build an open source software for lung cancer detection to help radiologists?
- Link: Concept to clinic challenge on DrivenData
-
Satellite Imagery Processing for Socioeconomic Analysis
- Can you estimate the standard of living or energy consumption of a place from night time satellite imagery?
- Reference for Project details: Stanford Poverty Estimation Project
-
Satellite Imagery Processing for Automated Tagging
- Can you automatically tag satellite images with human features such as buildings, roads, waterways and so on?
- Help free the manual effort in tagging satellite imagery: Kaggle Dataset by DSTL, UK
-
Music/Audio Recommendation Systems
- Can you tell if two songs are similar using their sound or lyrics?
- Dataset: Million Songs Dataset and it's 1% sample.
- Example: Anusha et al
-
Music Genre recognition using neural networks
- Can you identify the musical genre using their spectrograms or other sound information?
- Datasets: FMA or GTZAN on Keras
- Get started with Librosa for feature extraction
-
Can I use the ideas here for my thesis? Yes, totally! I'd love to know how it went.
-
Do you have any advice before I start my project? Advice for Short Term Machine Learning Projects by Tim R. is a pretty good starting point!
-
Would you like to share my solution/code to a problem here? Sure - why not?
Go to the GitHub issues tab in this repository and let me know there.
-
How can I add my ideas here? Just send a pull request and we'll discuss?
-
Hey, something is wrong here! Yikes, I am sorry. Please tell me by raising a GitHub issue.
I'll fix it as soon as possible.
Problems are motivated by the ones shared at:
Built with lots of keyboard smashing and copy-pasta love by NirantK. Find me on Twitter!
These ideas have been seen by people in last few months!
If you are interested in seeing exclusive machine learning and deep learning project ideas, share your e-mail address here!
This repository is licensed under the MIT License. Please see the LICENSE file for more details.