- Find a mentor
- Web Programming
- Mobile App Programming
- Programming Languages
- Data Science /Engineering
- Database /Operations
- Find a freelancer
- Find developer jobs
An innovative and creative student passionate about web/android apps development. I am a third year undergraduate student pursuing Computer Engineering from Delhi Technological University. I describe myself as an initiator and a dynamic person with a great curiosity for all those things which revolve around new technologies. My major area of interest is centered around Andriod application development. I have equal interest in backend development and GUI related artifacts. I consider Competitive coding and algorithm development as two my major strengths. Also, I love to explore new technology and learn new things.
- 2 years experience
I am an Android Developer who has done many projects and has discovered almost everything in Android.I am an active Open Source contributor to fossasia and Mifos Initiative with contributions to more than 4 Android Development projects in these organisations.
An home automation app that utilises speech recognition and NLP to understand and recognise the words and accordingly responds to the user talking or chatting. The AI bot after understanding the command by the user replies to the user in speech form and via text just like Smart Assisstants as Alexa or Siri. The bot using NLP detects specific words such as Home,Room,Door,Lights, and other electrical appliances reference and then triggers a request to the server which operates the Raspberry Pi to perform different IOT functions such turning the bulbs on or off etc. This is an IOT project and was created in the ISGW Hackathon 2017.
Engifest 2017 Android Application Annual Cultural Festival of Delhi Technological University The app contains all the information and registration procedure for the entry as well as for the events in Engi'17. Navigation feature has been provided for people to easily look at the places where the events will be held.
A CHATBOT built with the help of Machine Learning, Python, Entity Recognition and Android which ask you about some information related to your workplace and generates an accurate result which will eventually help you to understand if your workplace is good for you to work at. Our chatbot understands the person on an emotional level. Its prediction is not only based on the workplace conditions, but also on the emotional state of the person. For example - 1. The relation with his boss. 2. The relation with his family members. 3. Salary provided 4. Stress taken because of financial conditions etc.