Atulsah17

AI-based-virtual-assistant

AI-Powered-Customer-Engagement-Chatbot

AI chatbot using generative AI, offering seamless customer interaction on wine selections, tasting experiences, and general queries. With a minimalistic UI, low latency responses (<3s), and history maintenance, it directs users to contact for specific inquiries, enhancing customer engagement efficiently.

Atulsah17

BargainBot-AI-Powered-Price-Negotiator

BargainBot is an advanced negotiation chatbot designed to facilitate dynamic price discussions for products. Leveraging the power of sentiment analysis and AI-driven response generation, BargainBot engages users in real-time price negotiations, adapting its responses based on user sentiment and input.

Business-QA-bot

Child-and-Therapist-Detection-Tracking-System

This project aims to analyze long-duration videos involving children with Autism Spectrum Disorder (ASD) and therapists by detecting and tracking them throughout the video. The system assigns unique IDs, handles occlusions, and tracks re-entries using a combination of object detection (YOLO) and tracking (SORT).

Citation_extractor

crypto-coin-scraper-api

face-mask-detector

I developed a face mask detection system using a Convolutional Neural Network (CNN) in TensorFlow, integrated with OpenCV for real-time video analysis. The system classifies faces as "Mask" or "No Mask", providing visual feedback through bounding boxes and labels. The project demonstrated my skills in computer vision, machine learning, and Python.

Flask-Data-Augmentation-API

This Flask-based API allows you to augment a dataset of images in YOLO format with bounding boxes drawn on them. The augmentations are performed using the `albumentations` library, and the API returns a zip file containing the augmented images with bounding boxes.

Atulsah17/Fruits-and-Vegetables-Detection-and-Classification-API

A YOLOv8 trained model that accurately detects and counts various fruits and vegetables in images. This project includes a Flask API for easy integration and deployment, allowing users to upload images and receive real-time detection results.

Atulsah17/Business-QA-bot

Atulsah17/Slot_Machine_Simulation

This project simulates a simple 3x3 slot machine with five distinct symbols, including a special Jackpot symbol. Users can define the number of spins, and the simulation calculates the total winnings and the Return to Player (RTP).

Atulsah17/BargainBot-AI-Powered-Price-Negotiator

BargainBot is an advanced negotiation chatbot designed to facilitate dynamic price discussions for products. Leveraging the power of sentiment analysis and AI-driven response generation, BargainBot engages users in real-time price negotiations, adapting its responses based on user sentiment and input.

Atulsah17/Flask-Data-Augmentation-API

This Flask-based API allows you to augment a dataset of images in YOLO format with bounding boxes drawn on them. The augmentations are performed using the `albumentations` library, and the API returns a zip file containing the augmented images with bounding boxes.

Atulsah17/Child-and-Therapist-Detection-Tracking-System

This project aims to analyze long-duration videos involving children with Autism Spectrum Disorder (ASD) and therapists by detecting and tracking them throughout the video. The system assigns unique IDs, handles occlusions, and tracks re-entries using a combination of object detection (YOLO) and tracking (SORT).

Atulsah17/Vessel_Proximity_Detection

Atulsah17/Neural-Stock-Assistant

The Neural Stock Assistant is an advanced system that leverages the power of Llama3, an open-source Large Language Model (LLM), to retrieve company names and ticker symbols.

Atulsah17/AI-Powered-Customer-Engagement-Chatbot

AI chatbot using generative AI, offering seamless customer interaction on wine selections, tasting experiences, and general queries. With a minimalistic UI, low latency responses (<3s), and history maintenance, it directs users to contact for specific inquiries, enhancing customer engagement efficiently.

Atulsah17/face-mask-detector

I developed a face mask detection system using a Convolutional Neural Network (CNN) in TensorFlow, integrated with OpenCV for real-time video analysis. The system classifies faces as "Mask" or "No Mask", providing visual feedback through bounding boxes and labels. The project demonstrated my skills in computer vision, machine learning, and Python.

Atulsah17/Fraud-detection-system-for-financial-transaction

An AI based fraud detection system for unusual financial transaction.

Atulsah17/crypto-coin-scraper-api

Atulsah17/Citation_extractor

Atulsah17/food-delivery-web

Atulsah17/fyle-internship-challenge-23

Atulsah17/AI-based-virtual-assistant

Atulsah17/Atulsah17

Atulsah17/UCL-STATS-ANALYSIS

Atulsah17/portfolio