Sanaa T

AI-med call scheduler

AI Call Scheduler App:

In high-demand environments, handling incoming calls efficiently becomes a challenge. Important calls can be missed, delayed, or poorly prioritized when everything is managed manually. There is often no clear system to decide which calls require immediate attention and which can wait, leading to reduced productivity and poor response management.

This application provides a structured way to manage incoming calls by categorizing them based on urgency. It processes call data and assigns each call a priority level such as urgent, medium, or routine. Based on this classification, the system determines the appropriate action, whether that means handling the call immediately.

The system receives call inputs and applies predefined logic to evaluate their priority. Urgent calls are flagged for immediate attention, while less critical calls are queued or scheduled. All interactions are stored in the database for future reference and analysis.

Escrow app vault

Vaultly – Escrow-Based Payment Simulation Overview

Vaultly is a fintech-inspired web application that simulates an escrow-based payment system within a UPI-like interface. It focuses on improving trust in peer-to-peer transactions by introducing a controlled payment release mechanism.

Problem

Conventional UPI platforms such as Google Pay and PhonePe process transactions instantly, without built-in safeguards for conditional payments. This creates risk in scenarios such as freelance work, second-hand sales, and service delivery.

Solution

Vaultly implements a structured payment flow:

The sender initiates a transaction Funds are held temporarily instead of being transferred immediately The receiver completes the service or delivery The sender confirms completion, triggering release of funds

This model introduces a layer of transactional trust.

Grid grit

Key Features

• Power Waveform Analytics – Visualizes voltage and current waveforms to identify anomalies such as voltage sags, spikes, harmonic distortion, and frequency deviations for faster anomaly detection and fault diagnosis.

• Interactive Network Topology – Maps substations, transmission lines, and grid assets to visualize connectivity, trace fault propagation, and understand dependencies across the network.

• Incident Management – Centralizes fault reports and operational events, enabling efficient tracking, analysis, and response to critical incidents.

• Backend Data Pipeline – Processes, validates, and stores operational datasets in Supabase, exposing them through REST APIs to keep the frontend synchronized with the latest network state.


Tech Stack: React • TypeScript • Node.js • Express • Supabase