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|Overview: Artificial Intelligence(AI) & Machine Learning Training in Jaipur||Course-1: Machine Learning using Python||Course-2: Applied AI and ML With Deep Learning, Computer Vision, NLP and Image Processing||Projects & Reviews|
Our Summer Trainee Navya Mathur from Mody University got placed in 6 companies at a time that are SAP Labs,HSBC Bank,Mahindra & Mahindra, Accenture, Aricent, Infosys. Our another Summer Trainee Muskan Singla from #ModyUniversity got placed in 6 companies at a time that are HSBC Bank,SAP Labs, Honeywell, Accenture, Aricent, Infosys. They Completed their Summer Training in Artificia Intelligencel(AI) and Machine Learning(ML) Using Tensorflow(Python) at Goeduhub Technologies Jaipur, Rajasthan, India.
Advancements in technology have changed how we move from one place to another; cars today include semi-autonomous features like self-braking systems, obstacle detections, and assisted parking systems. Artificial Intelligence has already started to replace humans in many areas. This project is to develop a fully autonomous vehicle prototype which uses neural networks to sense the complete environment around it and take actions according to the inputs from the dynamic environment. The car can perform lane detection, traffic sign recognition, and traffic lights recognition. The car has 2 rear wheels and one casor wheel in the front. A picamera was attached on the car for capturing live frames. The ultrasonic sensor is attached at the front of the car to detect the obstacles when passing through the obstacles. A 2 lane track is built to test the car and some obstacles are placed on the track. The car will navigate by itself and overtake all the obstacles on the track. The Raspberry pi communicates with single board computer through Wi-Fi. The single board computer is hosted by a TCP server. When picamera captures a frame which is sent through Raspberry to server for further processing and making prediction with the help of neural network model and helps the car to navigate itself.
Project:2 FACE RECOGNITION USING LIVE VIDEO FEEDS
This project is completed by Neha from BITS Pilani. She completed her Summer Training Artificial Intelligence(AI) and Machine Learning(ML) from Goeduhub Technologies Jaipur in Artificial Intelligence(AI) and Machine Learning(ML). The main idea is to collect and build datasets of different faces and train a model that can recognize faces from the live video with high accuracy using regular learning. This Project is implemented in Python using numpy, Opencv and AI concepts on Jupyter notebook. OpenCV includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning(ML) algorithms. This project incorporate different algorithms:
OpenCV is a great tool to have in hand when dealing with data problems related to media. In the case you want to create your own tuned algorithm, due to its simplicity it lets you use the majority of your resources on developing the algorithm itself and not on the manipulation of the data, which can be a pain in the.
This project is completed by Shiny Agarwal from JECRC Jaipur. She completed her Summer Training in from Goeduhub Technologies Jaipur in Artificial Intelligence(AI) and Machine Learning(ML). In this project we used computer vision system that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.
|S.No.||Project Title||Completed By|
|1.||COVID19 Spread Visualization and Comparison using Flask and Plotly||Daniyal Khan|
|2.||Auto Summary Generator using Natural Language Processing||Khushboo Prasad|
|3.||Face Mask Detection COVID-19 project||Cheshta Agrawal|
|4.||FACE-MASK DETECTION:Deep Learning Project to detect whether a person is or is not wearing a mask.||Divya Tanwar|
|5.||Can we detect the Age and Gender of a person using live cam.||Mahipal Pareek|
|6.||Hand Gesture Recognition and Voice Conversion for Deaf and Dumb -project||Cheshta Agrawal|
|7.||Smart Traffic Sign Recognition Using Artificial Intelligence||Kashish Gupta|
|8.||Driver drowsiness detection using OpenCV||Harshita Mahawar|
|9.||PROJECT - LEAF DISEASE DETECTION AND RECOGNITION using CNN||Mohit Bansal|
|10.||Facial Expression Recognition using keras and flask app||Mahipal Pareek|
|11.||Credit card fraud detection using Ml||Vritika Jangir|
|12.||'Face Mask DetectIon' using Python | Tensorflow | Keras | OpenCV |||Aysha Begum|
|13.||Image Classification on CIFAR-10 Dataset using Deep Learning||Niharika Jalan|
|14.||Student Marks Predictor using Machine Learning||Ishika Naruka|
|15.||Mean Shift Object Tracking System using OpenCV||Manisha Mohapatra|
|16.||Smart Attendance Tracking System using Face Recognition||Dushyant Chauhan|
|17.||Color Detection using CNN & Python||Jagrati|
|18.||Speech Emotion Recognition using Artificial Intelligence||Khush Gupta|
|19.||Social Distancing Detection using Python |Machine Learning | Deep Learning | OpenCV||Mohd Vais|
|20.||Plant Disease Detection System using CNN||Sheena Sidhawat|