Real-Time Crowd Behavior Analysis and Anomaly Detection
Summary
Developed a model which predicts anomalies like fighting, valence, abnormal behavior, and patterns in crowded places.
About
Work
Indian Institute of Information Technology, Allahabad
|Teaching Assistant
Highlights
Assisted Prof. O.P. Vyas in teaching Database Management Systems (DBMS), responsibilities included conducting tutorials, preparing assignments, and providing detailed explanations of core concepts like normalization, indexing, and query optimization.
Collaborated with Prof. Anupam Agrawal for Operating Systems (OS) and assisted students in understanding complex topics such as process synchronization, memory management, and scheduling algorithms through interactive problem-solving sessions.
Evaluated assignments and exams, helped students in projects related to course-work, fostering analytical and practical skills development.
Education
Indian Institute of Information Technology, Allahabad
Master of Technology
Information Technology
Grade: 8.02 / 10.00
Courses
Cryptography
Cloud & Edge Computing
Social Network Analysis
IoT
Bhagalpur College of Engineering
Bachelor of Technology
Computer Science & Engineering
Grade: 8.18 / 10.00
Courses
Data Structures
Operating Systems
DBMS
Computer Networks
OOPS
Awards
Qualified GATE 2023
score of 468
Certificates
CISCO Certifications
Skills
Languages
C, C++, Python.
Tools
Visual Studio Code, Google Colab.
Database
SQL.
Deep Learning
CAE, LSTM, ResNet, Transformers.
Machine Learning
Basics of ML, DL, NLP, LLMs.
Frameworks
Hugging Face, LangChain.
Interests
Achievements
Solved over 600 questions across various platforms like LeetCode, GeeksforGeeks (GFG) & Coding-Ninjas, Programming Essentials in Python & Networking Essentials.
Projects
Voice Assistant
Summary
Created a voice assistant in Python that listens and understands the voice inputs, answers questions, and responds back.