Rural communities in India face ongoing challenges in accessing primary healthcare. These challenges include a lack of doctors, geographical isolation, and high consultation costs. This paper discusses an AI-assisted healthcare kiosk, a web-based, fully offline system that provides automated disease prediction, medication recommendations, BMI assessment, cardiovascular risk evaluation, and doctor referrals. It does all this without needing a permanent physician or internet connection. The system uses a Decision Tree classifier along with several machine learning models trained on a structured dataset of 4,920 samples, 132 symptom features, and 41 disease categories. It achieved 100% classification accuracy on the test set. The Flask-based web application features offline speech recognition through Kiosk, text-to-speech output using pyttsx3, TF-IDF vectorisation for natural language processing, and a MySQL backend for managing patient sessions. All ten functional test cases were successful, with an end-to-end response time of about one second. The proposed system proves it is possible to implement AI-powered primary healthcare tools in rural and resource-limited areas.
Rising levels of carbon emissions have emerged as a key factor to climate change requiring smart mechanisms of monitoring and mitigation. In this paper, CarbonIQ, a machine learning-based, generative AI-based, and IoT-based data collection integrated carbon footprint prediction a…
Cardiovascular disease (CVD) remains the leading cause of global mortality, necessitating non-invasive, accurate, and interpretable screening tools. Retinal fundus imaging offers an accessible, low-cost means of assessing systemic vascular condition, since microvascular changes v…
In the digital age, the need for quick and reliable access to healthcare information is increasingly essential. This project introduces an AI-powered Symptom Checker Application that leverages Natural Language Processing (NLP) and Machine Learning (ML) to interpret user-described…
The most prevalent sort of dementia, which accounts for at least two-thirds of cases in individuals aged 65 as well as older, is Alzheimer's disease (AD). AD is a neurodegenerative illness with insidious onset along with advanced impairment of behavioural as well as cognitive fun…
Natural disasters such as floods and landslides impose severe socioeconomic losses across vulnerable geographies. Accurate early prediction demands model capable of capturing both Spatial and a Temporal patterns embedded in environmental data. This paper presents a novel Attentio…
The stock market is highly dynamic and difficult to predict due to continuous fluctuations influenced by economic conditions, investor sentiment, company performance, and global events. Traditional stock prediction systems mainly depend on single-agent models, which often suffer…