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About Me

How fascinating. You hear this word and you want to know what it means, if you don't know what it means of course. For me, i was on google before i knew it. So, What does it mean

Skills

Web Development

With an experience of coding in HTML5, CSS & CPannel i can make a fully up and running website for you just like this one!

Mobile Applications

I have fair experience in SWIFT coding from UI development & prototyping to Machine Learning model implementations. So be it games or CRM development i have got you sorted. I also have intermediate knowladge about android studio.

Python

My favourite language of choice; with fair experience in python it was my language of choice for my final year project which was an intelligent smart mirror *it also had amazon alexa integration, pretty cool* you can check it out in the projects tab above. So scripting to data structures, i've got you.

Node.JS

I have intermediate knowladge about node.js it highly impresses me, i used it for my project on home automation as well as developing web applications.

Projects I've Worked On.

Project Topic: AI Based Intelligent Mirror.

*)Project Domain: IoT
*)Concepts Implemented: Open Source AI Bot
Implementation(Using Wit.Ai), Google Speech Recognition, API Pull Based Flashcard Display.
*)Languages Used: Python, XML, Java Script.

Update: Implementation Of Amazon Alexa Skill Services To Replace Self Trained Wit.AI Bot Which In Return Increaces Efficiency & Services Offered

Project Topic: Home Automation Using Apple HomeKit Using A RaspberryPi Server Side.

*)Project Domain: Automation & IoT
*)Concepts Implemented: Converting Any Consumer Switch Into A Smart
Switch, Siri Based Voice Control, Creating Multiple Scenes using MQTT
Based Communication Calls.
*)Technologies Used: HAP NodeJS, Apple HomeKit, MQTT Communication
Channel Using Raspberry Pi Server Side.

Project Topic: What's That?(A Machine Learning Object Identifying Cell Phone Application Based On iOS)

*)Project Domain: Machine Learning & Image Learning.
*)Concepts Implemented: ResNet 2.0 Machine Learning Model, Image
Mapping Using Stock Cell Phone Camera, 75% Understanding Efficiency.