An e-commerce website facilitated with user login/logout, Facebook OAuth, Razorpay Payment API. Initially inspiration was to deploy both models to the website. But then only one ML model could be successfully deployed to website. ML model 1: Disease prediction based o symptoms ML model 2: Chatbot

Got a good job, rest you can see on link provided. (heroku baar baar un–deploy kr deta hai app bata dena re-deploy kar dunga)

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Link 1: (is course me course 3 app dev ka hai to can be skipped if not interested) There are three Udemy courses for ML 1. Pyhton bootcamp zero to hero 2. Python and R for Data Science 3. Machine Learning A to Z

Siddhartha Shukla

Automated Path Mapping Robot Sep '18- Oct '18 Constructed an autonomous robot that used an overhead camera and applied image processing techniques using MATLAB. Image Processing techiques were used to extract features from the image about the arena. The bot traversed the shortest path obtained from Dijkstra's Algorithm to perform some tasks.

NA

Just refer gfg for dijkstras also and basic image processing techniques(you can Google them)

Divya Gupta

The aim is to predict whether a person is COVID positive or not by examining the CT scan of the examinee.

NA

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Deep learning course: https://youtube.com/playlist?list=PLkDaE6sCZn6Ec-XTbcX1uRg2_u4xOEky0

Eshaan Gupta

The project aims at calculating phase transformation temperature of SMA.

Cost reduction of characterisation process.

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NA

Shrishti Sharma

Hand gesture extraction using background elimination followed by recognition through convolutional neural networks.

NA

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NA

Nishant Kumar

A CNN is made to detect if the person in live videostream is wearing a mask or not. Imp Libraries used : Keras, OpenCV

NA

Search GitHub for face mask detection project

Ashrita Agarwal

This project presents the concept of fault detection and location in a Power Microgrid making use of the machine learning concepts like Artificial Neural Network. Due to the high current at the time of fault occurrence, the whole system might be de-energized which would have a severely negative impact on the entire system. An effective method to detect, isolate, and protect the power microgrid system against the effects of short circuit faults is extremely important. This project aims to work on a highly effective new method to protect the microgrid system using an Artificial Neural Network (ANN) that will detect and find the location of the fault before it affects other parts of the system. It would, therefore, be more dependable for microgrid protection. This protection network is distributed all along the power microgrid system protecting the entire microgrid network and is connected to the other protective devices in the system. This project focuses on detecting faults and identifying the location of the faults on electric power transmission lines in the power microgrid network.

NA

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Harsh Agarwal

The task is to discover a new learning based approach that can potentially improve our computational imaging tasks or can be extended to the other types of computational imaging tasks with similar features. For the 3D particle field imaging using holography and demonstrate them with synthetic and experimental holograms.

Simulation of the hologram in the form of Images.

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Notebook +slides

Pushker Naresh

Categorised the action of the holder of the mobile into 6 different activities

Useable in tracking devices

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NA

Himanshu Balasamanta

1. Built a Human Emotion Detector which takes input from live video feed and detects the faces present at each instant and predicts emotions i.e. happiness, fear, sadness, disgust, anger, surprise and neutral. 2. Used the Kaggle FER-2013 dataset. 3. Built and trained a CNN model for emotion detection.

It detects the faces present at each instant and predicts emotions i.e. happiness, fear, sadness, disgust, anger, surprise and neutral.

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https://github.com/ashuKS29/Human-Emotion-Detector

Ashutosh Kumar Singh

a biomimetic bipedal robot with reinforcement learning as it core control algorithm

NA

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Nishant Kumar

Designed an autonomous bot with the help of image processing techniques which takes input from an overhead camera. Used Open CV functions for thresholding, contour finding and shape detection. Used HSV segmentation to detect position and breadth-first-search algorithm for path planning. Used Arduino Uno Microcontroller and L298 motor driver for controlling the bot's movement.

NA

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NA

Ritwik Ghorui

Used pre-trained coco-data set of 80 classes, to detect and further created warning on detection of anomalies. Deep Neural Network module of Open CV and YOLO_v3 algorithm were used for the detection part. The project is designed for the CCTV frame. Whenever there are anomalies get detected in the frame it will save the information's of anomalies with the timestamp and also creates warning by giving the alarm. Most of the time the CCTVs are used at post-event time to check the footage. This project will help in equipping the CCTV as a pre-event tool by creating alarm for suspected objects. Application of this project is vast for invigilation as well as security purposes at various places like exam hall, Jewelry shops, border area etc. Exposure: Learned Python, Open cv, Yolo_v3 object detection algorithm, Convolution Neural Network. Achievement: Got recognition from HOD of Department of Electrical Engineering and awarded by A grade in the exploratory project.

Successfully tested 80 classes of objects on web cam.

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If you want, you can complete all these courses. But if you have less time, complete only the 4th course, i.e., "Convolution Neural Networks." This will help you understand the fundamentals of this project and give a short and theoretical aspect of the project.

Sanjul Kumar Sharma

Work on pos tagging using cross domain and cross task transfer learning

NA

Google it

Arpit mehta

https://docs.google.com/presentation/d/163E1KgP2KlJLB1TinNLNthlFOKrjEoHECpmbuE4sZQY/edit?usp=sharing

NA

Presentation Link Given

Ritwik Ghorui

Built a CNN model that predicts the emotion of the face and deploys it in Android

NA

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NA

Mobasshir Ali

Rates the cv of candidate by identifying keywords

NA

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NA

Kshitij Sharma

To build a bot that walks on a black path on a white background. Turning, speed, stopping automated by machine learning.

Finally have a fully autonomous working vehicle.

Yolo project is similar to it, you only look once project.

Forecast load with various model ARIMA, SARIMA, LSTM, unstacked LSTM, CNN, CNN LSTM .

Gain the knowledge of Time -series forecasting.

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NA

Manohar Kumar

Proposed a short term load forecasting model based on deep residual networks focuses on the forecasting of loads from several minutes upto one week into the future. Exposure: Python, Keras ,Residual networks

NA

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NA

Sanika jain

Classifies spam and non spam messages

NA

Coursera deep learning course

Pratyush Amrit

Data of many places at different points of time was organised into different time and space bins so that it can be used to analyse trends and behaviour of the region wrt a particular event

You will learn how we can study the region statistics to understand various trends so that appropriate plans can be made accordingly with regards to infrastructure, management etc. (this project can be used for work in the areas of healthcare, pollution, demographics, public amenities, business strategies and economic development etc.)

ArcGIS tutorials on ESRI website and youtube, several other spatio temporal analysis project

Avani Singh

Designed a user friendly web page using HTML, CSS, JavaScript. Implemented minimax algorithm based functional paradigm ,used appropriate heuristics and optimized the code using alpha beta pruning to reduce its time complexity.

Web page of the game works efficiently , prints win/loss and draws messages depending upon the situation.

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NA

Ainy

Using GANs for open-set person re-identification

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Dhvani Shah

The task is to implement an automatic number plate recognizer in an unconstrained condition that considers occlusion, poor quality of images, and other spatial variations in image data.

Text obtained from images of Number plates

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NA

Pushker Naresh

Ive attached my github account link , I've done tons of projects so would be hard to put all in form , please see them

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Ayush Agarwal

Apply neural networks to images for classification/identification

NA

kaggle, coursera(Andrew NG), analytics vidhya

Akarsh Vatsa