Linear Regression, Multiple Linear Regression, Polynomial Linear Regression, SVR, Decision Tree Regression, Random Forest Regression, K-Nearest Neighbor’s, SVM, Kernel SVM, Naïve Bayes, Decision Tree Classification, K-Meaning Clustering, Hierarchical Clustering, UCB, Natural Language Processing, ANN, CNN
Python(anaconda), machine learning libraries like (scikit-learn TensorFlow, Theano torch), deep libraries (matplotlib, OpenCV, numpy, scipy), spark, hadoop
- develop and deploy the recommendation system on Azure
- working Data where housing project
- working NER project
Pakistan Railway Face recognition base Attendance:
Create face recognition system in Pakistan Railway using Machine learning. In this project working on real time environment. This project very challenging for us, because light and resource effect. In this project we get 99% accuracy against 3000 employees in one sites
Libraries: Tensor-Flow, MySQL, panda, NumPy, OpenCV, keras
Pakistan Railway Train Tracking system:
In this project working to track train using tagging system. Read tag using tag reader device and update with time, speed and location of the train.
NRTC Number plate automatic:
In this project working on NRTC for create number Plates. Using peddle OCR for reading laser number and yolov4 for (laser number detection) object detection. In this project working on raspberry pi and deploy model on raspberry pi
Libraries: MySQL, panda, NumPy, OpenCV, keras Peddle OCR,
- worked on instagram chatbot like(create caption, create hashtag, create post)- worked on BTC prediction using AI (create model structure and trained)- create general communication with customer- worked on 2D image to 3D mash
Used LSTM and GRU create a model to predictive next 7, 15- and 30 minute price of the stock. Create model to detect news fake or real using NLP and using transfer learning in Grover model. Worked in Reinforcement learning to develop a model to beat Alpha-Zero model in chess or other games. Worked in text to voice using AI model in this model (dc-tts model ).
In this project work in reinforcement learning. Using reinforcement learning create an algorithm for playing a chess game more than super-man. In this project we beat the Alpha-zero and Leela chess in world competition of AI chess.
Tools & libraries Used: python, DQN, CNN, Tesnsor-flow
The Goal of this project is to provide help and support to company customer to predict the price of the stock and invest in stock markets. Objective to detect the prices of the stock price next 7,15 and 30 mins. Our solution takes input as close price of stock different periods as different prediction days and giving the price of the next days in stock
Tools Used: Python, RNN, FLASK, Pytroch
The Goal of this project is to provide a website in which detect the news is real or fake using the AI model. In this project use the neutral network for train and predict response of different user about our project.
Tool Used: python, sql, Grover, Flask, NLP, and Tensorflow
Responsible for implementing data mining and statistical machine learning solutions to various business problems such as sales lead scoring, supply chain optimization, demand forecasting, and targeted marketing
Responsible different duties collecting business data, analyzing information, and developing improvement and enhancement solutions based on their findings. Ability to reducing costs, pricing new products, solving issues that cause losses, and increasing employee productivity.
wrok in as software engineer in fatima industry