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a-to-z-resources-for-students

A curated list of resources for college students

acl22-clickbait-spoiling

algo_leet_practice

alzh-app

This is a flutter based app. It can predict if a person is suffering from Alzheimer’s disease with 71.5 percent accuracy rate.Used Flutter Framework and Firebase for Database and Authentication.

awesome-competitive-programming

:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

balance_array_gfg

https://practice.geeksforgeeks.org/problems/balanced-array07200720/1/?category[]=Arrays&difficulty[]=-1&difficulty[]=0&page=1&query=category[]Arraysdifficulty[]-1difficulty[]0page1

balanced_array_gfg

Question link-https://practice.geeksforgeeks.org/problems/balanced-array07200720/1/?category[]=Arrays&difficulty[]=-1&difficulty[]=0&page=1&query=category[]Arraysdifficulty[]-1difficulty[]0page1

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

blinking-led-using-arduino

Blinking LED using Arduino

brain_password

One-Shot Learning with Convolutional Siamese Neural Networks for EEG-based Biometric Recognition.

code

data structure question

codeforces_sol

collision_config_visulization

comparative-study-of-bert-models-for-open-qa-using-cord-19

This work caters to extract the relevant documents from the recent CORD-19. Encoder-mapper based model: encoder - to create clusters from the contextual embeddings using BERTbase, SciBERT and BioBERT; mapper - to find the most relevant cluster to answer a user provided question based on coronavirus; and then, analyse the results from each BERT variant.

count_the_triplet

Geek4Geek Question - Count the triplet solution

cynapse2k15-website

dailycodechallenge

dart-code-metrics

Software analytics tool that helps developers analyse and improve software quality.

dense-caption-imaging

Our research focuses on the intersection both computer vision and natural language processing

detection-of-plant-disease

A plant disease detector (classifier) based on the PlantVillage dataset

detection_malicious_url_using_ml

Used machine learning for detecting malicious URLs using text & host based features with 95 percent accuracy. – Implemented machine learning algorithms like Neural Networks, perceptron in python and used libraries for Support Vector Machines for the classification problem with supervised learning.

docs

The open-source repo for docs.github.com

dsa

dsa_algo

Leetcode Questions

fake-news-detection-using-machine-learing

Fake News Detection in Python using Machine Learning

first-repo

flutter

Flutter makes it easy and fast to build beautiful apps for mobile and beyond.

fluttertodoapp

This is a TODO application made using flutter framework.

friday

🎓 Friday - Your Personal Class Manager Assistant, It'll never let you miss another assignment deadline or upcoming test.

genetic-string-mapping-algorithm

Developed an AI program in C++ that takes in any number of variable-length strings of genetic sequences and generates a best-fit set of sequences w.r.t. any given cost map by auto-aligning subsequences of the original gene set.