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appliedaicourse-assignmentandnotes

This repo contains the Applied Ai Course Assignments and Notes.

contact-tracing-for-covid-19-using-machine-learning

cs657-information-retrieval-systems

cs657-natural-language-processing-tasks

Word Similarity Task, Named Entity Recognition Task, AI4Bharat

cs685-census-2011-india-data-analysis

cs685-covid-19-data-analysis

cs771-intro-to-machine-learning

efficient-information-retrieval-system-using-stack-overflow-data

The project focusses on extracting the top most relevant questions to a particular query in less time (~0.1ms) using Elastic search and also showing similar questions by using semantic searching using BERT transformer model.

finance-data-visualization-and-prediction

Course Project for CS661 Big Data for Visual Analytics

implementation-of-machine-learning-models-from-scratch

intelligent-farm-irrigation-system

The goal is to create an intelligent irrigation system that uses servo motors to manage water flow based on a Machine Learning algorithm’s forecast. To anticipate the water flow, this algorithm uses the humidity and temperature data produced by the sensor associated with each individual servo motor sensor. In addition, the water flow is only controlled during the day. During night time, system is switched off.

nirf-data-extraction-and-analysis

nlp-paper-reading

Paper reading on Semantic Enrichment of Pretrained Embedding Output for Unsupervised IR

performance-comparison-of-snort-and-suricata-and-implementation-of-machine-learning-model-to-snort

smart-visitor-recognition-system

This project focuses on creating a smart visitor recognition system that provides notifications to the owner through the Internet whenever a person comes at the door. When a person comes at the door, camera sensor captures his/her image and sends it to the ML face recognition module. It recognises the face of the user with any of the allowed members and matches the entry timing. Furthermore, we have also provided a time-based heuristic which allows entry only under desired timings. The advantage gained by choosing this system over similar current systems is that it provides automatic entry in case the person is recognised and is trying to enter within desired timings. In all other cases, the user receives a notification to allow/deny. The developed system provides accurate judgements under different test scenarios. The time bound entry heuristic makes it unique when compared with similar systems developed so far.

study-on-iot-development-boards-and-simulators

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