Niranjani29

Adaboost_Terrrain_Classification

The goal is to do terrain classification with an algorithm of your choice, researching and deploying it on your own.

Android-Application

Pavitra packing is a movers and packers mobile application. It gives an efficient way to move and pack.

API_Space_Availability

Created a working API that is web accessible that responds to GET or POST requests containing a JSON object requesting a piece of data with a particular “hid” & Returns a JSON object with the full record for the piece of data with that particular “hid”.

azure-event-hubs

☁️ Cloud-scale telemetry ingestion from any stream of data with Azure Event Hubs

Face_Expression_Recognition

Face Expression recognition model using Keras

Halma_GamePlaying_AI_Agent

The game of Halma, an adversarial game with some similarities to checkers. The game uses a 16x16 checkered gameboard. Each player starts with 19 game pieces clustered in diagonally opposite corners of the board. To win the game, a player needs to transfer all of their pieces from their starting corner to the opposite corner, into the positions that were initially occupied by the opponent. Note that this original rule of the game is subject to spoiling, as a player may choose to not move some pieces at all, thereby preventing the opponent from occupying those locations. Note that the spoiling player cannot win either (because some pieces remain in their original corner and thus cannot be used to occupy all positions in the opposite corner).

Placement-Prediction

To classify whether student will get admission placed in any company or not.

Sequence_Labelling_HMM

The goal of this assignment is to get some experience with sequence labeling. We will be assigning dialogue acts to sequences of utterances in conversations from a corpus.

Shopping-Cart

Developed an algorithm for automation in shopping cart using camera to avoid the customer wait time in long queues and enhance their shopping experience. COCO database was extracted and object detection was implemented using SIFT algorithm in Pycharm IDE

Spatial_databases

Create (generate/sample) some data, visualize it, do queries on it, and visualize the query results.

Niranjani29/Shopping-Cart

Developed an algorithm for automation in shopping cart using camera to avoid the customer wait time in long queues and enhance their shopping experience. COCO database was extracted and object detection was implemented using SIFT algorithm in Pycharm IDE

Niranjani29/Adaboost_Terrrain_Classification

The goal is to do terrain classification with an algorithm of your choice, researching and deploying it on your own.

Niranjani29/Android-Application

Pavitra packing is a movers and packers mobile application. It gives an efficient way to move and pack.

Niranjani29/API_Space_Availability

Created a working API that is web accessible that responds to GET or POST requests containing a JSON object requesting a piece of data with a particular “hid” & Returns a JSON object with the full record for the piece of data with that particular “hid”.

Niranjani29/azure-event-hubs

☁️ Cloud-scale telemetry ingestion from any stream of data with Azure Event Hubs

Niranjani29/Face_Expression_Recognition

Face Expression recognition model using Keras

Niranjani29/Halma_GamePlaying_AI_Agent

The game of Halma, an adversarial game with some similarities to checkers. The game uses a 16x16 checkered gameboard. Each player starts with 19 game pieces clustered in diagonally opposite corners of the board. To win the game, a player needs to transfer all of their pieces from their starting corner to the opposite corner, into the positions that were initially occupied by the opponent. Note that this original rule of the game is subject to spoiling, as a player may choose to not move some pieces at all, thereby preventing the opponent from occupying those locations. Note that the spoiling player cannot win either (because some pieces remain in their original corner and thus cannot be used to occupy all positions in the opposite corner).

Niranjani29/Placement-Prediction

To classify whether student will get admission placed in any company or not.

Niranjani29/Sequence_Labelling_HMM

The goal of this assignment is to get some experience with sequence labeling. We will be assigning dialogue acts to sequences of utterances in conversations from a corpus.

Niranjani29/Spatial_databases

Create (generate/sample) some data, visualize it, do queries on it, and visualize the query results.

Niranjani29/Classify_Office_Space_Availability

Classify whether a given chunk of text describes a commercial establishment that offers office space for rent

Niranjani29/Cryptarithmetic

It is a Constraint Satisfaction Problem(CSP).Cryptarithmetic is a genre of mathematical puzzles in which the digits are replaced by letters of the alphabet or other symbols

Niranjani29/Email-Spam-or-Not

Naive Bayes classifiers are a popular statistical technique of e-mail filtering. They typically use bag of words features to identify spam e-mail, an approach commonly used in text classification. Naive Bayes classifiers work by correlating the use of tokens (typically words, or sometimes other things), with spam and non-spam e-mails and then using Bayes' theorem to calculate a probability that an email is or is not spam.

Niranjani29/Enron_Regression

In this project, you will use regression to predict financial data for Enron employees and associates.

Niranjani29/Feature-Optimization-Using-Genetic-Algorithm-

Implemented and optimized the solution of knapsack problem using genetic algorithm

Niranjani29/First_Order_Logic

Use First order logic in medical history

Niranjani29/Ismile_Dummy_Website

Dummy trial webpage

Niranjani29/Movie-Ratings

IMDB score predictor

Niranjani29/niranjani29.github.io

Niranjani29/Selenium-QTP

Created a small web-based application by selecting relevant system environment/platform and programming languages. Narrate concise Test Plan consisting features to be tested and bug taxonomy. Narrate scripts in order to perform regression tests. Identify the bugs using Selenium Web Driver and IDE and generate test reports encompassing exploratory testing.

Niranjani29/SQL_queries

Implemented a few SQL queries

Niranjani29/Supervised_Author_Identification

Use Supervised algorithms ( Naive Bayes, Support Vector Machine, Decision Tree ) to identify emails from the Enron corpus by their authors

Niranjani29/UCS_BFS_A-

Search for optimal paths