BT Real Estate is a web application designed to mkae property searching and listing properties easy. It provides a user-friendly interface for Real Estate Agent to keep track of their Property Listings. Customers can Search all the properties efficiently.

lilNotion is a Notion Clone which is a versatile productivity app for organizing notes, documents, databases, and more, with collaboration features. It's highly customizable and accessible on various platforms..

This is a fully operational book e-commerce website. The Python Django framework is used as the backend language for this project, together with PostgreSQL for the database and additional tools like HTML, CSS, Bootstrap, and JavaScript.

Built a full-stack website as a personal project, focusing on simplicity due to time constraints. Currently using the Context API for data handling, with plans to potentially integrate Redux or GraphQL in the future. Interested in adding TypeScript for type safety but facing compilation delays on my machine. Continuously improving the project and considering optimizations as it evolves.

Deep learning program to identify when an article might be fake news

Speech emotion recognition is the process of identifying emotions from speech signals, often using machine learning algorithms to analyze features like pitch, intensity, and timing. It has applications in various fields including customer service, mental health monitoring, and human-computer interaction.

A Software As A Service AI Platform, where user can generate imgaes, videos, music from Text input. also get there questions answered by Smart AI

Use Python to create a front-end and back-end stack with interactive API documentation.

This uses Tensorflow image classification feature using TensorFlow JS. It uses Serverless environment by leveraging the Serverless framework.

Deep Leanring neural network trained to Recoginze Digits

Genrating SKetches from live feed or any images

CNN-RNN model for automatically generating image captions. The network is trained on the Microsoft Common Objects in Context (MS COCO) dataset

Sensor and motion data gathered by a simulated robot is used to create a map of an environment. SLAM gives us a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, etc.

Machine Learning model that estimates salary of data scientist based on the features like rating, company_founded, etc.

Utilizing the Million Songs Dataset, this machine learning project employs Pandas and recommender systems to develop a sophisticated music recommendation engine, enhancing user experience through personalized song suggestions.

Machine Learning project conducts a comprehensive analysis of bike sharing demand, utilizing regression techniques to model and predict usage patterns, thereby facilitating optimal resource allocation and operational planning.

The Iris flower data set or Fisher’s Iris data set is a multivariate data set introduced by the British statistician, eugenicist, and biologist Ronald Fisher in his 1936 paper the use of multiple measurements in taxonomic problems as an example of linear discriminant analysis.