Discover @ashislaha Open Source projects

ASHIS LAHA (@ashislaha)

ashislaha

Stars
256
Global Rank 101,267 (Top 4 %)
Followers 57
Following 7
Registered almost 10 years ago
Most used languages

Swift
84.0 %

Python
8.0 %

Objective-C
8.0 %
Location 🇺🇸 United States
Country Total Rank 25,060
Country Ranking

Swift
628

Objective-C
2,020

Shape-Detection-in-AR

Detect the shape of drawing objects (classes - line, triangle, rectangle, pentagon, Hexagon, circle) and draw in Augmented Reality.

Route-Direction-in-AR

Adding the Feature "Real World Path Direction" by tapping on Map. GoogleMap will give us the direction to that location from user location then click on "ARView" & you will get the real-world path direction. Also added "Reachability" for finding path in Google map. -- Also added .mlmodel for car-detection. Initially trained the model using Convolutional Neural Network in TensorFlow, then convert the .h5 output into .mlmodel. Use it in the application. please check : https://github.com/ashislaha/CarDetection-Keras & https://github.com/ashislaha/CarDetection-iOS for more details how to train a model. -- In ARFrame generates capturedImage which is the input to .mlmodel for detecting that car is present in the image or not. -- This project combines both ARKit & CoreML.

Swift-ObjectiveC-Interoperability

Let's discover how to create a project where both swift and objective c class resides with each other. We will discuss more advanced by creating swift and objective c static library and how they can interact with each other.

NLP-based-Store-assistant-with-AR

Let's create a generic template how AR(Augmented Reality) and NLP(Natural Language Processing) can be applied to Retail market to leverage the maximum benefits to customer like Offers, finding items in your shopping list, creating the shopping list using NLP based system, getting offers from assistant, showing the navigation path in AR etc

CarDetection-Keras

"Car Detection" is trained in Keras using Tensorflow as back-end. It's taking an image as input & gives a binary decision whether a car is present in the image or not.

DrawingCanvas

Let's create a Drawing Canvas for Kids and anyone who loves to draw. The project supports both iPad and iPhone with all version and all kinds of orientation.

LocalAuthentication

Using Face ID and Touch ID, the iOS app can authorize your identity and send the log in information to the back-end without any user interaction with the app. This is one of the most secure way to identify the user. Let's see how to implement it.

ARDemo

Create an AR Project with ARKit. Explored Tracking, Plane Detection, Hit Testing, Light Estimation, SCNNode Rendering etc.

CarDetection-iOS

Using the .mlmodel in Xcode, that .mlmodel is converted from Keras / TensorFlow output. Please check https://github.com/ashislaha/CarDetection-Keras .

superCart

Let's solve "Basket building" problem in Groceries e-commerce. Help and understand the customer to create better basket.

Learn-iOS

Let's begin to learn iOS. We will explore the basics of iOS Technology. Like - Auto-layout, ARC, View, ViewControllers, Animations , Design Patterns, frameworks etc..

Explore-Reactive-Programming

Let's Explore Reactive Programming. (RxSwift and RxCocoa)

DS-ALGO-in-swift

Solving DS-ALGO problems using swift language in play-ground. Problems regarding on Tree, Graph, Linked-list, Greedy-Algo, Dynamic Programming , ARC handling etc...

9-Pebbles

9-Pebbles : Description : This is very simple game played by 2 players. You can play offline 2 players or play with Computer. Initially 9 pebbles are given to both player. Aim is to create a Straight Line either Horizontally or Vertically. When a Straight line is created, you claim a pebble from Opposition that must not belongs to a Straight line. When all pebbles are placed on desk, single movements starts. You will get 4 options "Left"/"Right"/"Top"/"Bottom" to move your pebble to create a Straight line. When you claim all pebbles from opposition then you will win the game. I added "Online" feature for simple conversation with online users. But for that, you have to login with your google account. Enjoy :-)

MQTT-in-iOS

Here I am demonstrating how MQTT works in ios. What is basic concepts of Internet of Thing(IoT) and its protocols. Etc..

StretchyHeaderAnimation

Let create a cool animation effect on Product details page. While the user scroll down, the header will get bigger with visual effect.

todo-with-siri-shortcut

let's create a small project of TODO list with limited set of operations to explore Siri Shortcuts.

BabyPink

A basic template for e-commerce page where you will get a log in page, product list view, product selection category, product details page, making a product as your favourite product etc.

FaceDirectionRecognition-using-ANN

Determine FaceDirection with help of Artificial Neural Network (ANN). This is one of the good Machine Learning approach where it's demonstrated how ANN has been trained with training examples. I used back-propagation algorithm. For Image , use few image processing tools like Noise reduction (using Gaussain Filter), Edge detection (using Canny Algo) for better performance.

DigitRecognition

This is a Machine Learning project based on Convolutional Neural Network (CNN) & Dense Neural Network(DNN). I trained the model using MNIST data-set and used TensorFlow as a training back-end. Used mostly Keras ( wrapper of Tensorflow) to get the HDF5 output. Then convert the .h5 file into .mlmodel which can be used in xcode.

Custom-Progress-Bar

Create a Custom Progress Bar using ShapeLayer.

Let-s-learn-server-side-coding

Learn (1). how to crate a local server with mysql database (2). host it into cloud using heroku webservice (3). Consume the web-service using iOS application.

FrameWorkCreationAndDistribution

Basic Concepts about iOS Frameworks : How to create framework ? How to distribute your framework ? How to update your framework after modifying the functionality ?

BackgroundTaskWithNotificationManagement

This project will help you to understand how we can schedule a background task for an iOS app. It is really useful to fetch the feed data behind when the app is not live and give immense pleasure to the user to get the latest content immediately. I am trying to solve a use-case where we can schedule multiple local notification using BGTask.

FaceIdentification_Generic_Approach_For_Authentication

Step 1 : Register your Face : A. Take a video of few seconds of your face. B. Create samples of images from Video to train Convolutional Neural Network. C. Train the model with those images (class = 'YES') and some images that is not your face (class = 'NO') D. Convert the model output (.h5) into .mlmodel E. import it into your Xcode for Production. Step 2 : Next Time while log in A. Take image from Camera B. Give the image to CNN for calssification. C. If it's you then "Successful Log in" D. Other-wise show some pop-up like "It's not you"