Seasons Of Code
Language Detection • Tejpal kumawat
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
Language Detection
Natural Language Processing which will predict language (English , hindi , chinese and French)
No. of mentees: 5
Description:
- Project will be based on Natural Language Processing which will predict language (English , hindi , chinese and French)
- Predict the language of the written text and also language of the text from the images.
- Read text from images by Optical Character Recognition (OCR) using tensorflow.
- Use concepts of natural language processing and deep learning to do this
- Will deploy the model on the heroku with the help of streamlit.
Resources:
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Streamlit - https://www.youtube.com/playlist?list=PLtqF5YXg7GLmCvTswG32NqQypOuYkPRUE
-
NLP- https://www.youtube.com/watch?v=fM4qTMfCoak&list=PLZoTAELRMXVMdJ5sqbCK2LiM0HhQVWNzm
-
OCR- https://www.youtube.com/watch?v=aELZtpOClWk&list=PLreVlKwe2Z0QKobecSxrheGzrgd4iXJje
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Github- https://github.com/tejpal123456789/Natural-Language-Processing/blob/main/language_detection.ipynb
Tentative Project Timeline
| Week Number | Tasks to be Completed |
|---|---|
| Week 1 | Learn basics of python and try to understand basics of deep learning |
| Week 2 | Start learning about natural language processing like how to clean data, how to convert text into vector (basic level) and also about OCR |
| Week 3 | Learn how to train model with simple machine learning algorithm |
| Week 4 | Learn basics of the streamlit |
| Week 5 | Apply all these things on the capstone. |
Checkpoints:
| Checkpoint Number | Progress |
|---|---|
| 1 | Python |
| 2 | Natural language Processing |
| 3 | OCR and its application |
| 4 | Model training using python and basics of the stremlit |
| 5 | Final Project |