Hackathons & Challenges:-
Azadi ka Amrut Mahotsav Hackathon 2022
Appreciation award for the project "Smart stick for blind people".
In this hackathon, I led a team of 6 members and we made a smart stick for blind people during 36 hours of hackathon.
This stick is specially designed for visually impaired people who want to roam around independently.
This product uses computer vision technology to capture footage of the front road and help a person navigate easily through audio instructions.
We also made an android application for the guardians of visually impaired persons to track his/her location.
Techstack:-
Software:- Python, Computer Vision, NLP, Android
Hardware:- Jetson Nano, Ultrasonic sensors, Buzzders, External Battery
NASSCOM Academin Grand Challenge 2022
My team was a National Level Finalist in this challenge and we were in the top 5 teams among all the participants.
We have made a "Stock market crash prediction web application" that can predict ups & downs in the stock market.
It was a very helpful use case in the Finance sector after the pandemic as the world was growing again.
We have used several machine learning and deep learning algorithms like LSTM, Regression, ARIMA, etc.
Techstack:- Flask, WordPress, Python, Deep Learning, Machine Learning
CentuRTIon Hackathon 2022
My team was a National Level Finalist in this hackathon.
We have made an Android application for Sign language to other language translation Android applications by which users will able to translate sign language to 18 different kinds of language with audio and text output.
The problem it solves With the help of our application, deaf-dumb people can easily communicate with common people.
Techstack:- Python, Deep Learning, Computer vision, NLP, Android.
VOIS Innovation challenge 2022
I led a team of 3 members in this hackathon and we were among the top 40 National Level Finalists among 450+ teams.
We made a deep learning model using CNN which can classify brain tumor types in pituitary, glioma, and meningioma.
We have fine-tuned Resnet models on the MRI image dataset and we have achieved 95% accuracy in this task.
Techstack:- Python, Deep Learning, Image Processing.
Patents:-
Navigational Aid Device for Visually Impaired Individuals (202421033107)
System and Method for Translating Sign Language into Spoken Language (202421033112)
Real-Time Detection of Manipulated Digital Images Using AI (202421033396)
Advanced Myoelectric Prosthetic Arm with Integrated Sensory Feedback and Motor-Controlled Joints (202421033382)
Research Papers:-
Barcode and QR Code Object Detection: AnExperimental Study on YOLOv8 Models (2024 International Conference on Emerging Innovations and Advanced Computing (INNOCOMP))