Muhammad Muhtashim Email & Phone Number

Lahore, Pk

Lahore, Punjab, Pakistan

► "Just Walk Out" System: Integrated YOLOv8 for object detection and segmentation, combined with Deep SORT for real-time person tracking.► Computer Vision Solutions: Deployed real-time tracking using YOLOv8 and object segmentation for accurate product identification.► Sensor Integration: Implemented weight sensors and virtual polylines to detect and manage item interactions in-store.► Edge Computing: Utilized edge computing for low-latency processing and real-time decision-making.► User Experience Enhancement: Enabled seamless shopping experience by automating purchase tracking and billing.► Operational Efficiency: Improved store operations by reducing checkout queues and optimizing resource management.► RAG-Based Systems: Developed retrieval-augmented generation (RAG) systems using LangChain and Hugging Face, leveraging Meta LLaMA model with Ollama for enhanced language understanding and response generation.

Lahore, Punjab, Pakistan

● Chatbot Development: Built a chatbot for change management queries with a user-friendly interface.● Pinecone Integration: Used Pinecone for vector database and Retrieval-Augmented Generation (RAG) system.● File Handling: Enabled processing of PDFs, TXT, and Word files.● Functionality Expansion: Implemented features like grammar correction, summarization, translation, and textenhancement.● API Development: Developed Flask APIs to integrate functions with the frontend.● AI Assessment: Created AI-driven assessments and reports using GPT-4.● Sitemap and Graph: Generated a sitemap and graph for system visualization.● Technology: Utilized GPT models and LangChain for NLP tasks throughout the project.

Lahore, Punjab, Pakistan

● Developed Chatbot: Created a lead generation chatbot for shoe sales using data scraping, JSON, and PDF files. Implemented a knowledge base with Faiss and LangChain for enhanced model flexibility and contextual responses.● Integrated LLM for Chatbot: Utilized LLM to generate dynamic responses based on user queries about product details, availability, and sales, including providing direct product links.● AI-Generated Video Creation: Designed a system to generate videos from user-provided topics by creating scripts with GPT, transforming them into scenes, and integrating Text-to-Speech for narration.● Visual Synchronization: Synchronized visual elements with voice-over using extracted keywords, ensuring a cohesive and engaging video experience.● Video Assembly: Merged voice narration with visual scenes and utilized APIs like Pixel API for video delivery, producing informative and visually appealing content.

Lahore, Punjab, Pakistan

VIRTUAL MAKEUP TRY-ON● Virtual Makeup Try-On Prototype: Developed a virtual makeup try-on system that allows users to upload pictures andapply makeup virtually.● Face Detection & Landmark Identification: Implemented face detection and landmark identification using HuggingFace's open-source face segmentation model.● Face Segmentation: Applied face segmentation techniques to accurately define makeup application areas.● Makeup Application: Enabled users to apply virtual makeup such as lipstick, eyebrow color, hair color, and blush, basedon facial landmarks and segmentation areas.● Image Processing: Utilized OpenCV for image processing tasks to integrate and apply virtual makeup seamlessly.● User Interaction: Provided an intuitive interface for users to specify colors and areas for customized makeupapplication.EFFORTLESS BUS BOOKING AND MANAGEMENT● GPT-Enhanced Chatbot: Built a chatbot using GPT for natural language interactions, handling trip details and userpreferences.● Flask Application: Developed a Flask-based platform for users to interact with the chatbot, book buses, and viewoptions.● Vendor Order Management: Implemented a system for vendors to receive and manage booking requests efficiently.● Real-Time Tracking: Enabled users to track their booked buses with real-time location and ETA updates.● Cancellation Functionality: Added features for users and vendors to easily cancel bookings.● User Experience: Created a user-friendly interface for seamless bus booking and management.

Lahore, Punjab, Pakistan

■ Designed AI Grammar Correction System: Developed an end-to-end solution for Swedish grammar correction, achieving ~90% accuracy using supervised learning techniques.■ Data Collection & Preprocessing: Leveraged Python libraries such as BeautifulSoup for web scraping, Requests for data retrieval, and Regex for text cleansing. Utilized Pandas and NumPy for data manipulation and preparation.■ Model Training & Optimization: Trained supervised and unsupervised models using Scikit-learn for feature extraction and Keras for deep learning. Fine-tuned models like models like LSTM (Long Short-Term Memory) to enhance grammar correction accuracy.■ Natural Language Processing: Applied NLTK for text analysis and linguistic data processing, including tokenization, part-of-speech tagging, and parsing.■ API Development: Engineered APIs for grammar correction using Flask and FastAPI, facilitating seamless user interaction and integration with other applications.■ Technical Proficiency: Demonstrated expertise in Python for data science, machine learning, and NLP, leveraging a range of libraries and tools to deliver a high-precision grammar correction system.

Lahore, Punjab, Pakistan

● AWS Integration: Utilized AWS services such as EMR (Elastic MapReduce) and Glue for building a scalable data processing pipeline. Employed S3 for data storage and access.● ETL Development: Created and executed ETL (Extract, Transform, Load) scripts using Apache Spark on EMR clusters for efficient data preprocessing and cleaning.● Data Management: Processed and structured large volumes of data, storing the cleaned data back in S3 buckets for further use.● Backend Development: Developed the backend using Flask, exposing APIs for seamless interaction between the frontend and backend systems.● Network Graph Creation: Employed NetworkX to process telecommunications data and construct network graphs for social network analysis.● Graph Visualization: Integrated CytoScape for interactive visualization of network graphs on the frontend, enabling users to explore and analyze graph structures.● Algorithm Implementation: Applied various graph algorithms, including centrality and betweenness centrality, to uncover patterns and detect criminal networks.

Lahore, Punjab, Pakistan

■ Dataset & Frame Extraction: Utilized the UCF Crime dataset, extracting frames from videos using annotated files.■ Sequence Creation: Sequenced extracted frames to form video sequences.■ Model Training: Developed a 3D Convolutional Neural Network (3DCNN) using TensorFlow to classify crime categories such as abuse, fire, and explosions.■ Real-Time Detection: Implemented the 3DCNN model for real-time crime detection, enhancing surveillance and security capabilities.■ GAN Training: Employed Conditional Generative Adversarial Networks (cGAN) to generate custom logos.■ Conditioning & Noise Addition: Introduced noise and conditioned the GAN on specific logo classes to create user-defined logos.■ Logo Generation: Enabled generation of logos based on user-specified classes and noise inputs.■ Custom Dataset Creation: Developed a custom dataset by recording employees speaking each alphabet from 'A' to 'Z.'■ Data Processing: Processed video data of lip movements using 3D Convolutional Neural Networks (3DCNN).■ Model Training: Trained the 3DCNN model to recognize spoken alphabet letters from lip movements.■ Challenges: Addressed challenges such as low video quality and dataset preparation to lay groundwork for future improvements.

Bachelor Of Science - Bs, Mathematics

I am currently pursuing a BS in Mathematics, which is helping me grasp key math concepts crucial for understanding and developing AI.

Intermediate, Engineering

I've successfully completed my FSC in Pre-Engineering, laying a strong foundation for my passion in technology and engineering. I'm now.

Matric, Biology, General, A

I've completed my Matric in Biology, fostering a deep appreciation for the natural world and scientific inquiry. My diverse educational.