Project Category: AI Solution

Research Copilot is an autonomous AI agent built to augment and accelerate the research process. It continuously scans vast sources of knowledge—including academic papers, technical blogs, preprints, patents, and code repositories—relevant to your domain. The agent distills this information into structured digests, highlights emerging breakthroughs or conflicting findings, and tracks evolving research trends.

This project shows an intelligent agentic system designed for complex image restoration tasks. It focuses on restoring real-world images suffering from multiple degradations such as motion blur, defocus blur, low light conditions, dehazing, and underwater distortions.

This project demonstrates building a smart AI travel assistant powered by LangGraph. It leverages multiple large language models (LLMs) to handle travel-related tasks such as finding flights, booking hotels, and generating personalized travel itineraries.

This n8n based workflow acts as a fully automated, rule-based fraud monitoring and response tool, identifying suspicious card transactions, requesting customer confirmation, escalating denied transactions, and maintaining comprehensive logs for future model training and compliance.

This project is an agentic AI-powered fraud detection and alerting pipeline that automates the entire fraud monitoring process end to end. It works by fetching transaction data, analyzing fraud risk using an AI model against historical patterns, verifying suspicious transactions through customer …..

Leukemia, a hematological malignancy, requires early and accurate diagnosis to improve patient outcomes. This study proposes a novel hybrid deep learning model combining a Convolutional Neural Network (CNN) encoder with a Vision Transformer (ViT) for classifying leukemia from microscopic …

This project builds the process for identifying swing highs and lows in bullish and bearish trends using price action analysis. In a bullish trend, the system confirms the trend by detecting consecutive higher highs, then identifies swing lows …..

This AI model lets you edit facial images by describing what you want in text, using a series of advanced deep learning models. The system works as an automated pipeline: you upload a photo, it automatically aligns the face, and then uses the encoder4editing (e4e) …..

The project successfully builds and deploys a YOLO-based deep learning system for stenosis detection, outperforming published benchmarks on the ARCADE dataset, while highlighting dataset limitations and possible improvements through augmentation, hyperparameter tuning, and cloud deployment.

A retrieval-augmented generation (RAG) based chatbot that leverages OpenAI embeddings and GPT-4o to answer queries from ingested documents (PDFs and Excel) stored in Chroma vector store. Exposed via a FastAPI interface, designed for scalability and modularity.