Bachelors of Technology
Completed B.Tech in Artificial Intelligence and Machine Learning from USAR, Delhi, where I developed a strong foundation in technology, engineering, and problem-solving skills.(cgpa: 7.2)
I completed my B.Tech in Artificial Intelligence and Machine Learning from the University School of Automation and Robotics, GGSIPU, Delhi. I am passionate about working on machine learning and AI-based projects, continuously seeking to expand my knowledge and skills in the field through practical implementation and research.
Hello! Niranjan this side,from USAR, GGSIPU. I am passionate about creating projects in machine learning and Python, as well as working on automation and robotics. I continuously seek knowledge through internships, always pushing myself out of my comfort zone to grow. Currently, Iām focused on AIML opportunities and eager to collaborate. Additionally, I enjoy extracurricular activities and sports.
Satyadrishti is an AI/ML-based system that detects face-swap deepfake videos and audio in real-time, ensuring media authenticity for cybersecurity, journalism, and digital forensics.
CODE LINK DEMOA deepfake voice detection project utilizing an RNN model to analyze audio patterns and differentiate between real and fake voices and deploying the solution via Flask.
CODE LINK DEMOBuilt a deep learning-based system using OpenCV to convert sign language gestures into real-time text and speech with a GUI, enhancing communication for deaf and mute individuals.
CODE LINK DEMOThe crop prediction app recommends suitable crops based on environmental factors like nitrogen, temperature, and humidity, using machine learning to provide real-time, accurate predictions and help optimize agricultural decisions.
CODE LINK DEMODeveloped a Face Tracking System using OpenCV and Haar cascades for real-time face detection and tracking. Designed for applications like surveillance, gesture recognition, and interactive systems with efficient performance.
CODE LINK DEMODeveloped a Bluetooth-Controlled Car with Obstacle Avoidance, combining robotics and wireless communication. Controlled via a mobile app, it navigates in all directions, avoiding obstacles with an ultrasonic sensor. Powered by Arduino, it's ideal for security, military, and educational applications.
DEMOCompleted B.Tech in Artificial Intelligence and Machine Learning from USAR, Delhi, where I developed a strong foundation in technology, engineering, and problem-solving skills.(cgpa: 7.2)
I completed 12th grade from Govt.Sarvodaya Bal Vidyalaya, Nangloi,Delhi with 76%. where I also prepared for the JEE, further fueling my passion for technology and engineering studies.
I completed 10th grade at Govt. Co-ed. Sr. Sec. School, Nangloi, Delhi with 80%. This period sparked my growing interest in science and technology, shaping my decision to pursue further studies in the science stream.
This on-site internship at DRDO focused on deep learning, where I developed a real-time Sign Language to Text and Speech conversion system using deep learning techniques, specifically CNN and OpenCV, for gesture recognition and voice output.
I completed a research internship at IIT Roorkee under Dr. Udit Choudhury, focusing on embedded systems. I worked on Python-Arduino integration for customized biosensing setups and contributed to remote experimental development.
We proudly secured 2nd runner-up š in Vytoblitz 1.0 Hackathon by Vytoflow Tech Club at ITS Engineering College! From 700+ teams to the top 10 finalists, our Deepfake Recognition System stood out for tackling deepfake face and audio detection.