Platform Engg @Peak.ai | prev : Senior Software Engineer @LTI | Commercial AI | FinTech | Full Stack | prev: ML intern

Aastha Mehta  • Peerlist



https://www.eduonix.com/certificate/8ef4fb3938

Board Game Rating Predictor using Machine Learning

Using point and neighborhood processing techniques and algorithms,a user selected image.The functionalities of the project were: Gray scaling,Contrast stretching,Brightness adjustment,Histogram equalization,Smoothening ,Sharpening and High Boost filtering

Spatial Domain Image Enhancement using Java

The project's functionalities include interactive learning in which end users have provision to select the topic they want to learn and further the requested content is been displayed in smart and attractive GUI.

Teaching Assistance using Java

Block Breaker game mimics the popular game wherein a ball object bounces on touching the paddle and destroys the blocks which it touches, earning points and power-ups.This was implemented by manipulating images, creating animation and updating positions of a game piece. This Java project included technologies such as user input and collisions, Threads and Key Listeners.

Block Breaker Game using Java

The App aims at being a platform used for connecting Mentors and Mentees, with a vision to make everything required for knowledge sharing purpose all at one place. 

Features implemented are: 
~Match /Recomendations of Mentors with skills in Mentees' interested domain. 
~Mentor Rating and Certification ensuring quality on-boarding via sectional online Quiz. 
~Scheduling Learning sessions with mentors as per their availability and Calendar feature to view upcoming and past events /sessions.
~Common Event Comments Feature - to have updates dynamically. 
~Database management through online server. 
Authentication via Firebase. 
~Live Secure (Private joining links - Agora/WebRTC) Video chat feature with comment options.
~Live and daily Notifications of events nearby

E-Mentoring Android Application | GyaanFreedom

Successfully built and tested a non-linear classification model using KNN algorithm on a dataset with obtaining decent accuracy and handling Data errors

Clothing Items Classification Model - Image Processing, ML, 

It aims at reduce road accidents on a significant scale. Using computing platform and integrating various sensors,a prototype vehicle was built which demonstrated the safe distance calculation in dynamic situations and gave provision of 3 level warning system and apply automatic brakes in emergency situations.