adhdaptive-thriving-with-adhd

Our mission is to provide a reliable and empathetic virtual companion that offers personalized assistance, guidance, and understanding to help students with ADHD thrive academically and emotionally.

american_sign_langugage_recognition

askadoctor

Doctor Appointment Booking Website created using HTML, CSS, Javascript, Django

asm-piano-simulation

Assembly Language-based Simulation of Piano using graphics in TASM and DosBox 🎹

chatterr

context-free-grammar

Project to generate the Leftmost and Rightmost derivations of Context-Free Grammar

data_science_in_baseball

gen-ai-visual-search

Translating customers' visual preferences into meaningful product experiences.

graph-neural-network-for-prediction-of-subjective-features-of-question-answers

SAGEConv Graph Neural Network Model for Multimodal Regression of the Google Quest Q&A Challenge Dataset.

maskup

Real-time Face Mask Detection using MobileNetV2 and OpenCV

movierecommendation

Movie Recommendation System using Cosine Similarity and Sentiment Analysis of Movie Reviews using Naïve Bayes and Support Vector Machine. 🎥🍿

quizgame

Quiz Game in C: Course Project for Problem Solving and Programming (PSAP).

rad-net

Visual Question Answering

resume-analysis-and-job-recommendation

Utilizing NLTK, Selenium, Pyresparser, and BeautifulSoup, this project analyzes a candidate's resume to recommend suitable jobs. The website is built with HTML, CSS, JavaScript, and Django, providing an interactive interface for users to explore top matching job opportunities.

roshitab

GitHub Profile README.md

roshitas_srishti_group_assignments

safar-e-tourism

Ticketless Entry System to Monuments and Museums enabled with a QR feature that allows the verification of visitors at the entry of the monument or the museum by scanning the QR code on their E-tickets

srishti-react

sristhi-23-ai-cv-pipeline

sugarcane-leaf-disease-detection

Transfer-Learning based Sugarcane Leaf Disease Detection Using DenseNet201 Architecture

video-classification-and-captioning

Proposing an innovative video classification and captioning system with keyframe extraction and transfer learning