Discover @akash18tripathi Open Source projects

Aakash Tripathi (@akash18tripathi)

akash18tripathi

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Registered over 6 years ago
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Python
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Java
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Location 🇮🇳 India
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Jupyter Notebook
5,019

Notes_App-using-Node.js-Express.js-mongoDB

A Simple Notes App which can get a string , put it in mongoDB database and then fetches it to show to a webpage using Node.js and Express.js used for routing. This project is for looking at basic mongoDB connections with our Web Application.

Drawing-using-Hand-Tracking-OpenCV

Ever tried writing/drawing in air? Running this python script based on opencv will track any green/purple object of a specific hsv and will track that object.

Emotion_Predictor

San-Fransico-Crime-Analysis-and-Predictin-Kaggle-

This project is based on the datasets provided by a kaggle competition. The provided datasets includes: 1)train.csv 2)test.csv 3)sampleSubmission.csv -Using Different Classification techniques like naive_baeyes,RandomForest,etc , i have predicted the categories of crimes on the test.csv dataset.

Jupyter Notebook

Tic-Tac-Toe-

This is a fun Tic tac toe game in android .

Sangam_Hackathon_Traffic_Volume_Predictions

This is the analysis and predictions of a traffic dataset provided by IIT Madras Alumini assosiation in a competition called Sangam Hackathon 2019 conducted in the month of july-August 2019. This consists of a Time Series dataset on which we apply regression problems

Jupyter Notebook

Word2Web-Converter-Image_Processing-Computer_Vision

This Project can convert a handwritten word to a webpage element by training a CNN model on the words manually and integrating it with Flask Web server

Titanic-Kaggle-Survival-Predictions

This repository is based on the famous Titanic problem on Kaggle, which includes two datasets given-train.csv and test.csv. The submission file is submission.csv . This is the best example how easy classification models can lead to higher accuracy. Still improvement needed, suggestions are always welcome!

Jupyter Notebook

Digit-Recognizer-Kaggle

This repository contains the digit recogniser datasets and the analysis in a .ipnb notebook as well as the submission.csv file. The Predictions are done using Convolutional Neural Networks. The overall score for the predictions of this model is 0.98400 in the actual compititions. Imporovement in the model which improves the accuracy are always welcome!!!

Jupyter Notebook

ODI-Records-Data-Web-Scraping-Python

This repository contains a jupyter notebook and a csv file which contains batting records of all ODI players ever played ODI cricket. This task was accomplished through Web scraping in python using libraries like BeautifulSoup , Pandas and numpy.

Jupyter Notebook

TCS-HumAIn-2019-Age-Emotions-Ethnicity-Gender-Predictions-Using-Computer-Vision

This repository contains the submission for TCS HumAIn 2019- fifth problem statement which consists of facial recognition and age_ethnicity_gender_emotion predictor using computer vision tehniques

Jupyter Notebook