Akshat Tripathi
AI & ML engineer building production-ready impact models
RidgeRecon — AI Fingerprint Reconstruction
RidgeRecon is an AI-powered fingerprint reconstruction project designed to restore and enhance damaged, incomplete, or low-quality fingerprint images.
The system uses deep learning and image processing techniques to reconstruct missing...
Aegis — AI-Powered Drone Detection
Aegis is a computer vision system built with YOLO and deep learning to automatically detect drones in images and video streams. The system identifies drones in real time and provides precise bounding boxes with confidence scores for each...
AutoML Forge is an end-to-end AutoML platform designed to simplify the machine learning workflow by automating key stages from data preparation to model evaluation.
The platform allows users to upload their datasets and build machine learning models without manually handling...
Developed a deep learning-based brain tumor classification system using MRI images. The project applies transfer learning with pretrained CNN architectures to automatically classify brain MRI images into different tumor categories.
What I worked on
MRI image preprocessing and...
i have finally completed my Car recommendation Project which takes some details about the cars you want and it will recommend that are most relevant to those choices.
I created a tags column after combining all the features of every car and converted it into vectors matrix and...
machinelearningdatasciencerecommendationsystemData AnalysisData ScienceMachine Learning Engineeringpandasscikit-learnStreamlit
