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!
- Agree to disagree
- Watson (World's smartest assistant in your pocket)
- 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
- Goal ICPC
- Traffic congestion modelling and rendering
- 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
- 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
To celebrate the recent findings uncovered by scientists in the physics community, we will try to make a simulation of gravitational lensing caused by a black hole using GLSL, beside other simple simulations.
This involes studying the basics of Shading with GLSL, the OpenGL Shading Language, which flexibly controls the rendering pipeline of the dear GPU in your device. Next, we will implement a boilerplate WebGL simulator program in a fairly modern browser. After this, we will implement various sample GLSL renders before coding the final one. This involves computing the deflection of a light ray incident at a black hole using numerical integration and simulate this effect with GPU to get fast and crisp images.
Note: The (second) main aim of this project is to understand and use shading, not implementing the shading libraries or understanding general relativity. The first one is to celebrate that new original black hole image, obviously.
- Fluency in C++.
- Preliminary understanding of graphic rendering.
- No formal understanding of general relativity is required. All formulae will be provided.
|Week 1||Learning basic rendering concepts|
|Week 2||Learn GLSL|
|Week 3||Learn GLSL|
|Week 5||Learn to use GLSL on browser and perform simple simulations|
|Week 6||Understanding and implementation of raytracing|
|Week 7||Understanding and implementation of gravitational lensing|
|Week 8||Implementing gravitational lensing|