Abhinav Gupta

Abhinav Gupta is a computer enthusiast with a keen interest in Machine Learning and Software Development. He believes in the power of Artificial Intelligence to revolutionize various aspects of technology, from Home appliances to Web Applications. Abhinav is particularly intrigued by robotics, with a focus on A.I Drones.

One of his notable projects included developing a Self Driving Car Prototype using Deep Learning where he played a crucial role in designing and training a DL Model. He utilized technologies like Computer Vision, TensorFlow, and OpenCV to implement techniques such as Basic Lane Finding, Behavior Cloning, and Vehicle Detection for real-life applications.

Abhinav also created a Desktop Assistant using Python, enabling voice-operated functionalities like playing music, searching on Google, playing YouTube songs, messaging on WhatsApp, and opening apps with voice commands. Implementing security measures like face lock and trigger word detection added to its feasibility, with the use of libraries such as speech recognition, selenium, Keras, face recognition, dlib, and os libraries.

Leading a team in the development of a Music Recommendation System, he focused on extracting characteristic vectors of songs and users for clustering and analysis to provide personalized recommendations. Leveraging collaborative filtering, the system could cater to existing users' interests and generate playlists based on user mood.

In a Deep Learning Hackathon on HackerEarth, Abhinav utilized Transfer Learning with Inception V3 model and custom CNN layers to achieve an impressive 92% accuracy on a test set, securing the 33rd rank among all contestants. Additionally, his contribution to the Inter IIT Tech Meet Project involved creating a chinook-style drone by coding Arduino to function as a flight controller with just 2 rotors to ensure the drone's stability.