Muzammil Abbas
@Muzammil592Full-Stack Developer specializing in scalable MERN applications, integrating AI/ML solutions in Computer Vision and NLP to build intelligent, end-to-end systems
Language Breakdown
Lines of code distribution across 26 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Python
Collaboration Network
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Repos
26
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
Hadi Shah
@hadishah123
Flávio Pavim
@flaviopavim
Younes BENZIANE
@Jones-6199
Jesse Zhou
@enderh3art
Cane
@canestein
Top Repositories
I have worked on projects in both supervised and unsupervised learning, focusing on classification and clustering in data science. In Natural Language Processing, I developed a detailed Urdu-to-English machine translation system and a sentiment analysis project for text understanding.
An AI-powered Smart CCTV Security System that detects weapons, suspicious behavior, and unauthorized faces in real time using YOLOv10, I3D, and RetinaFace. It analyzes live footage, reduces false alarms, and sends instant alerts with location and video evidence to nearby police, ensuring faster and smarter public safety.
Hello This is my profile
A production-grade, dockerized NLP chatbot built using pure Python, NLTK, and Scikit-Learn. Features a custom sliding-window text chunker, TF-IDF vectorization, a Logistic Regression intent classifier with a confidence fallback threshold, and dynamic system guardrails to eliminate hallucinations.
B2B Real-Time Collaboration Canvas: A MERN microservice platform facilitating instant team design via infinite multi-tenant boards. Engineered using Fabric.js, an optimized Socket.io/Redis pub-sub matrix, dynamic CRDT concurrency control, and debounced MongoDB delta snapshot persistences.
Built a gender classification model using EfficientNet-B0 trained on UTKFace . Achieved 90.80% test accuracy with 70/15/15 train-val-test split. FastAPI app in progress for real-time inference via image upload.
A React full-stack web translator containerized with Docker. Built on Node.js/Express and Vite, it optimizes API workflows by parsing custom JSON trees from RapidAPI via FastAPI microservices. It features a low-latency UI using automated WebSockets for instant, real-time cross-language updates.
A React.js learning repository covering core concepts and performance optimization techniques including Redux, Context API, hooks (useMemo, useCallback, useReducer, useRef, useLayoutEffect), React.memo, automatic batching, and practical comparisons between React features.
About a month ago I use AI to solve my complex problem to trim the videos dataset in which I need to trim every video to some extent removing the noise from each video, which I have done using my own trained yolov10 model by which I have done this task and only retain the video clips which involves the weapon.
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