Projects delivered by The2410

The solution was designed around one connected learning management system for educators, learners, and administrators. Course content, live classes, learner activity, and payments are managed through dedicated modules.

To handle course creation, a course editor was provided with lesson sections and video uploads. Text lessons and assessments are also organized within each course.

The live classroom brings video streaming, chat, and a whiteboard into one teaching space. Screen sharing, attendance, and recording controls support live classes.

The learner workspace presents course navigation, video lessons, and text materials. Downloads, quizzes, tests, and completion status support self-paced study.

The administration module manages role-based accounts, course access, and enrolments. Payment records, invoices, and transaction history are stored with the administration data.

The solution was designed around the official WhatsApp Business or Cloud API. Meta business assets, phone numbers, credentials, and webhooks are managed in the same settings area.

To handle campaign work, a message composer was provided with contact import and audience selection. It includes approved templates and media attachments.

Previews, scheduling, and sending remain close to campaign preparation.

CSV contact lists and audience segments are supported. The composer also accepts images, short videos, and PDF files.

The conversation area brings incoming messages, support replies, and template quick replies together. Automation rules handle routine responses, while complex cases move to staff.

Delivery, read, and failure events appear in searchable histories. Dashboards, reports, and exportable JSON data support message review.

The platform was structured in modules so CRM, website, and SaaS integrations can be added without rebuilding the whole system. Spreadsheet, customer-support, and webhook connections are also supported.

The solution was designed around a strategy editor where the firm configures trading rules, indicators, and market parameters. Historical or real-time data feeds the same strategy setup.

To handle strategy development, a backtesting module was provided. It compares strategy behavior on historical data and shows trade results and performance metrics.

The live dashboard analyzes market data and displays buy and sell signals, entry and exit points, and open positions. This gives the trading team one view of current market activity.

Automated execution was designed around trading platforms, broker APIs, and exchange APIs. The execution monitor shows order status, executed trades, and risk limits while orders are processed.

Trade history, P&L, and maximum drawdown are available for review. The system exports these records to JSON, Excel, or PDF.

The solution was designed around a modular strategy and signal layer. It applies trading parameters, indicator or candle conditions, documented rules, and incoming signals before generating buy and sell signals.

To handle live execution, broker API connections were provided for market, limit, and stop orders. The platform manages order placement, modification, and cancellation, with selectable paper or live modes.

Special attention was paid to risk controls. Position sizing, stop-loss and take-profit settings, risk limits, and an emergency kill switch are available before and during execution.

Historical testing was provided alongside live monitoring. The platform runs strategies against historical market data and presents P&L, win rate, and drawdown.

An order blotter and event timeline address the need for retained trading records. A decision log, exception list, CSV export, and SQLite record view complete the audit trail.

The solution was designed around the client's real sources, fields, and rules. The first screen defines website URLs, contact fields, and recurring extraction settings before a run begins.

To handle collection from one or more sources, an extraction monitor was provided. It shows the run state, source URLs, extracted records, and loading or access notes in one place.

The records then move through cleaning and review. Duplicate matches, validation status, contact fields, and categories stay visible so the data manager can prepare a consistent contact list.

The final screen was designed for practical delivery. It exports organized records as CSV, Excel, or JSON and keeps setup instructions or process notes available with the file.

The scraper uses reusable code and can be tuned to the client's rules. Documentation and training materials support independent work with the system.

The solution was designed around the retailer’s website, support content and business services. The embedded widget answers visitor questions about products, FAQs and policies.

To handle changing information, an editable knowledge and answer area was provided. Content managers maintain FAQs, product specifications and policy documents without changing the conversation interface.

Integration settings connect product and account databases, order-tracking API endpoints, and CRM or support systems. Handoff destinations include email, webhooks or live chat.

The solution was also designed to record conversation history, usage and common questions. It records fallbacks, handoffs and response quality for support review.

The chatbot uses natural-language understanding and AI response tools, while Markdown, API and database sources keep the knowledge structure readable and maintainable. Documentation and protected API-key handling were included in the production handover.

The solution was designed around one reporting model for the client’s financial, operational, sales, and customer data. SQL databases, Excel or CSV files, and specified cloud sources feed the reporting environment.

API and application sources are also supported when required.

To handle this, Power Query cleans, transforms, and models the incoming data. Star-schema models are included where required, while DAX measures and calculated fields support documented KPIs and business calculations.

The main reporting screen presents KPI cards, interactive charts, and tables. Filters, slicers, and navigation controls help managers review the main figures and move into detailed views.

Special attention was paid to the path from a headline metric to its details. Drill-down charts, drill-through navigation, detail tables, and date or category filters connect the executive view with the underlying report information.

The solution also includes refresh and access configuration for published reports. Scheduled refreshes and failure notifications are paired with workspace permissions and row-level security rules in a dedicated administration screen.

The solution was designed around the agency's real messaging rules: incoming WhatsApp messages, CRM stage changes, and contact attributes can drive the next action. Business hours, keywords, FAQs, and follow-up timing also shape the messaging.

To handle this, a conversation inbox was provided for incoming and outgoing messages, reusable templates, and contact information. Tags and status flags support the agent view, while live-agent handover keeps conversations connected to their history.

A separate follow-up area manages CRM-stage triggers and timing intervals. It also combines personalized fields with message templates and scheduled messages, with controls for pausing or editing campaigns.

Campaign reporting brings audience segments, template previews, and schedules together. Delivery summaries, read data, engagement metrics, and CSV exports make campaign activity easier to review.

The integration area was designed for API credentials, CRM contact and deal mapping, and webhook events. Delivery statuses, error logs, template configuration, and documentation remain available in the same settings area.

The solution was designed around a visual **workflow builder**. It connects triggers, actions and AI steps.

CRM records, APIs and webhooks connect the business process in one place.

The lead area brings **qualification, scoring and routing** together. AI classifies incoming information, updates CRM records and shows the next communication action.

The communication queue handles **personalized responses, email and SMS**. The client team sees messages, schedules and CRM context together.

A dedicated monitoring area checks workflow runs, validation results and errors. Retry and troubleshooting actions help the team review what happened and tune rules over time.

The system was structured as modules, so new forms, automations and integrations can be added later without rebuilding the whole application.

The solution was designed around **three connected workspaces**: a passenger app for taxi booking, a driver app for trip acceptance, and a web dashboard for dispatch and operations. APIs connect the applications with authentication, trip status, driver availability, and payment information.

To handle live journeys, real-time location updates were provided across the passenger, driver, and dispatcher screens. GPS positions support driver matching, map markers, ETAs, and trip status.

The fare flow was designed to show an estimate before the ride and calculate the final fare from trip details and configurable pricing rules. Payment processing, refunds, payouts, and payment status are available in the operations dashboard.

The administrative workspace was shaped around driver profiles, schedules, and active rides. It also covers pricing, payments, and support. It covers trip analytics, revenue reports, and CSV exports.

Testing, staging, and production environments were included in the delivery approach. Deployment scripts, technical documentation, and App Store and Google Play release support were also included.

Later additions such as fare bidding, loyalty points, and discounts can be added separately. Trip playback and delivery mode are also available as add-ons.