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Aakanksha Mahajan
Turning AI Potential into Business Advantage.
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Underwriter is a smart stock research platform designed to make investing simpler and more accessible for both beginners and experienced investors. It converts complex financial data into clear, actionable insights using AI and machine learning. The platform offers detailed company profiles, advanced financial metric visualizations, and a curated news feed enriched with sentiment analysis. An AI-powered chatbot acts as a personal financial analyst by summarizing reports and answering investment-related queries, helping users make informed, confident investment decisions.
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Toothfit is an AI-powered dental platform focused on remote aligner treatment monitoring, oral health tracking, and clinic-based diagnostics for patients and dentists in India. It allows dentists to track treatment progress and dental issues without requiring frequent in-person visits. The platform also features AI-assisted X-ray analysis to detect abnormalities, support faster diagnosis, and enhance clinical decision-making, improving both patient experience and clinical efficiency.
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T2D2 is an advanced computer-vision-driven SaaS platform that automatically detects, classifies, and monitors visible damage on building facades and physical infrastructure. Using photos, videos, and drone imagery, T2D2 identifies cracks, spalling, surface defects, and material deterioration with high accuracy. The platform enables engineers, inspectors, and asset owners to detect issues early, reduce manual inspections, improve safety, and optimize maintenance decisions through data-driven insights.
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Kavia AI is an end-to-end AI-powered development platform built to accelerate and simplify the complete software product lifecycle. Its core offering is an intelligent Workflow Management Platform that seamlessly integrates AI into every stage of development - from project planning and code inspection to automated code generation and performance analysis. By embedding AI across the workflow, Kavia AI helps teams build faster, reduce errors, and optimize development efficiency at scale.
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