Seasons Of Code
Unscripted • Anirudh Mittal, Siddesh Pawar, Pranav Jeevan
WnCC - Seasons of Code
Seasons of Code is a programme launched by WnCC along the lines of the Google Summer of Code. It provides one with an opprtunity to learn and participate in a variety of interesting projects under the mentorship of the very best in our institute.
List of Running Projects
- Browser Based PDF manager
- Resume Script Generator
- Physicc : A Simple Physics Engine
- Image Colorization
- Language Model Based Syntax Autocompletion in a Text Editor
- Computer vision based web app
- Cribbit Cribbit (Open for PGs Only)
- Techster Texter
- Language Detection
- Book Tracker
- ResoBin - Not the bin we deserve but the bin we need!
- Moodify
- Agree to disagree
- Unscripted
- Watson (World's smartest assistant in your pocket)
- IITinder
- BriefKing
- Meta Learning - Learning to Learn
- Break free of the matrix, by building one!
- Procedurally Generated Infinite Open World
- Introduction to App Development
- PAC MAN
- Introduction to Web Development
- (Un)Clear
- Goal ICPC
- Traffic congestion modelling and rendering
- PyRated
- Tools for Data Science
- Machine Learning Based Metropolitan Air Pollution Estimation
- Audio controlled drone
- NLPlay with Transformers
- DIY FaceApp
- A Deep Dive into CNNs
- Competitive Coding
- Snake AI
- Facial Recognition App
- Gaming meets AI !!!
- R(ea)L Trader
- Computational Geometry
- Deep reinforcement learning - 2048 AI
- Reinforcement Learning to Finance
- Developing Hybrid ANN-Statistical Model for Robust Stock Market Prediction
- Si-Phy
- Astronomical Data-modelling and Interpretation
- Visual Perception for Self Driving Cars
- Convolutional Neural Networks and Applications
- Quantum Computing Algorithms
- Algorithm Visualizer
- Anime Club IITB Website using Django
- Machine Learning in Browser
Unscripted
We envision a system that can take a few minutes of audio from a recording device and use that information to write an article on that event.
No. of mentees: 4
Description:
Journalists usually go out with their microphone to various places speaking into the recording device to note important events. They use these recordings later to prepare their article. We envision a system that can take a few minutes of audio from a recording device and use that information to write an article on that event. This fundamental concept can be extended to many other applications one of which can be automatic minutes-of-the-meet taker.
We’re looking for team members who have experience with programming. Experience with ML, more specifically speech recognition and NLP will be a plus. Some articles to begin with:
https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471 https://medium.com/@sanchittanwar75/introduction-to-machine-learning-and-deep-learning-bd25b792e488 https://www.youtube.com/watch?v=aircAruvnKk
Tentative Project Timeline
| Week Number | Tasks to be Completed |
|---|---|
| Week 1 | Basics of machine learning and webscraping |
| Week 2 | Basics of Speech-to-text, NLP and APIs |
| Week 3-4 | Data collection and preprocessing |
| Week 5 | Traning the model |
| Week 6 | Finetuning the model |
| Week 7-8 | Implementation |
Checkpoints:
| Checkpoint Number | Progress |
|---|---|
| 1 | ML Basics |
| 2 | Domain specific knowledge |
| 3 | Cleaned data |
| 4 | Model |
| 5 | Final product |