Image Classification Machine Learning Model
I need a hands-on partner to turn a folder of labelled pictures into a production-ready image-classification model. This project sits squarely in machine learni...
Read moreI need a hands-on partner to turn a folder of labelled pictures into a production-ready image-classification model. This project sits squarely in machine learni...
Read moreI’m opening a paid internship inside History and Archaeology Department for BCA/B.Tech Computer Science students who want to apply Python-driven machine learnin...
Read moreI will provide a corpus of raw call recordings, each in MP3 format, and I need a machine-learning model that can automatically flag fraudulent activity. The mod...
Read moreI’m building an end-to-end flower–image recognition system that runs as a web application. Users will be able to upload photos from their local drives, and the...
Read moreI am in the middle of my master’s thesis and need a capable partner to handle the coding side of a deep-learning project on mammogram images. The core task is t...
Read moreI need a web-based solution that lets farmers upload a clear photo of a leaf or crop (JPEG or PNG only). As soon as the image lands on the server, an AI model s...
Read moreTemporal Lesion-Aware Dynamic Gated Multimodal Fusion Framework for DR and DME Analysis Using OLIVES and MMRDR Datasets Framework Overview The proposed framewor...
Read moreBrain disorder detection using Deep Learning Uses MRI brain scan images Detects multiple brain diseases automatically Early disease detection and diagnosis Mult...
Read moreI’m building a hybrid artificial-intelligence pipeline that can spot low-flying drones by fusing two independent sensing channels: computer-vision video feeds a...
Read moreI need a complete fraud-detection solution for credit card transactions that marries conventional Machine Learning with more advanced Deep Learning, always keep...
Read moreI’m looking for a Python-driven computer-vision solution that can scan images of wooden surfaces and reliably flag three defect types: • Cracks • Discoloration...
Read moreHybrid Artificial Intelligence System for Autonomous Drone Detection Using Computer Vision and RF Signal Analysis The idea is to build AI detection system based...
Read moreI have an idea for an AI-driven product and I’m looking for a developer who can guide it from concept to a production-ready build. The problem space and the dat...
Read moreBuilding an AI-powered fetal ultrasound biometry analysis system. Looking for an experienced ML/computer vision engineer or team. The project involves developin...
Read moreI need a Convolutional Neural Network that can reliably detect targets within images and output consistent, reproducible results. You are free to recommend the...
Read moreI’m building a proof-of-concept that watches a live online-casino roulette table, recognises each winning number directly from the streamed video, and immediate...
Read moreI am midway through a Master’s thesis on automatic micro-expression recognition and want to strengthen both the technical experiments and the written document....
Read moreYou are required to build an app that can recognise banknotes through the phone’s camera on Android (or any easiest one). I’m fine with Flutter, React Native or...
Read moreI’m building an app that can recognise banknotes through the phone’s camera on both iOS and Android. The core flow is simple: the user points the camera at a no...
Read moreI am preparing a full-length research article on automated fabric defect detection in industrial environments, driven by convolutional or hybrid neural networks...
Read moreI need help to reduce overfitting in my hybrid vision transformers/CNN model for prostate cancer classification. Current setup: - Training on medium resolution...
Read more**Project Title:** Source Detection using Human Behaviour Dynamics using Machine Learning / Deep Learning / AI **Project Description:** I am looking for an expe...
Read moreExplainable AI Models for Any topic with novelty Project Description: Build a complete end-to-end Machine Learning project using dataset (CSV) to identify the s...
Read moreI need a complete, reproducible deep-learning pipeline that takes raw leaf images, learns to recognise plant diseases and then serves the prediction through a S...
Read moreI need a working proof-of-concept that spots drones in real time by blending vision and RF cues. On the vision side you will train and fine-tune YOLOv8 with Ant...
Read moreMore details: Which type of dataset are you planning to use for the CNN model? This question was skipped by the user What is the primary focus area of the acade...
Read moreI have a growing collection of high-resolution photos of farmed fish, each labeled according to the specific disease or healthy state shown. I need a robust ima...
Read moreI’m building a unsupervised classifier that learns jointly from audio recordings and accompanying physiological signals. My end-goal is a robust prediction mode...
Read moreI will provide a corpus of raw call recordings, each in MP3 format, and I need a machine-learning model that can automatically flag fraudulent activity. The mod...
Read moreI’m building a video-surveillance module and need a Convolutional Neural Network that can spot humans, vehicles, and animals the instant they appear on-screen,...
Read moreThe Sea Trash Detection and Cleanup System is an AI-powered solution designed to identify and assist in the removal of marine debris from underwater environment...
Read moreAs the title says I need help with machine / deep learning to train a model to pick up points correctly More details: Is this project for business or personal u...
Read moreI need a working proof-of-concept that spots drones in real time by blending vision and RF cues. On the vision side you will train and fine-tune YOLOv8 with Ant...
Read moreI am in the middle of my MSc thesis in machine learning and the central hurdle is implementing and fine-tuning both Convolutional Neural Networks (CNNs) and Rec...
Read moreProject Description: The objective of this project is to develop a model that can accurately reconstruct the masked regions of fingerprint images. I will provid...
Read moreMy Blackbox.ai workspace at https://www.blackbox.ai/share/b031f327-7c5e-4ee4-a228-050d1e0e7044 already hosts the early experiments for a machine-learning pipeli...
Read moreMy Blackbox.ai workspace at https://www.blackbox.ai/share/b031f327-7c5e-4ee4-a228-050d1e0e7044 already hosts the early experiments for a machine-learning pipeli...
Read moreI require a purpose-built deep learning model capable of reliably distinguishing authentic images from manipulated (deepfake) images. The scope is tightly focus...
Read moreI’m working on a personal research project that relies on convolutional neural networks to analyse image data, and I’ve reached the point where the baseline arc...
Read moreI need a clean, fully reproducible implementation of a convolutional neural network that can reconstruct partially missing fingerprints. The workflow starts by...
Read more