Full-Stack Web Developer | Business Websites& WebApplication
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Full-Stack Web Developer | Business Websites& WebApplication
NetworkAI — AI-Powered Campus Network Monitoring System
A real-time network monitoring dashboard designed to help campus IT teams observe network health, monitor interfaces, and identify potential issues from a single interface.
What I built
Real-time network monitoring with live interface and system status
Network interface analytics showing traffic and connection activity
Historical monitoring data for analyzing network behavior over time
Live WebSocket communication for continuously updated monitoring data
Network controls to start and stop monitoring directly from the dashboard
Interactive charts and visualizations for easier interpretation of
network metrics
Responsive dashboard UI designed for clear monitoring rather than unnecessary complexity
FastAPI backend providing REST APIs and WebSocket communication
React frontend with a modern monitoring-focused interface
Why I built it
The goal was to create a practical campus network monitoring system that demonstrates how real-time networking data can be collected, processed, and presented through a modern web interface.
Live Demo: https://netwrok-ai-a-campus-monitoring-syst.vercel.app/
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AI Automation Specialist — I build AI workflows that ship
I build custom AI-powered contract analysis web applications that help users review contracts, identify risks, and generate clear recommendations in minutes.
Using LangChain, RAG, Llama models, Hugging Face embeddings, Flask, and Docker, I create production-ready solutions that can analyze PDFs, DOCX files, and text documents, detect risky clauses, generate plain-English summaries, and provide structured risk scores.
Perfect for LegalTech startups, law firms, procurement teams, HR departments, and founders looking to automate contract review workflows.
Includes source code, deployment, customization, and post-launch support.
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Built SiteScope AI, an AI-powered client intake and discovery call automation system using Make.com (http://Make.com), Google Gemini AI, Jina AI Reader, Tally, Google Sheets, Google Calendar, Gmail, and Google Meet. The system automatically processes client submissions, extracts and analyzes website content, generates business insights, creates discovery call strategy briefs, produces personalized recommendations, schedules meetings with automatic calendar invites, sends branded confirmation emails, and logs all data into a structured CRM. The automation eliminates manual pre-call research, scheduling, and follow-ups while enabling faster lead response times and fully prepared discovery calls within minutes of form submission.
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Developed ReviewRadar, an AI-powered customer review monitoring and business intelligence system built with n8n, Google Gemini AI, SERPAPI, Google Sheets, Gmail, Slack, Twilio WhatsApp, and Looker Studio. The platform continuously collects Google Reviews, classifies sentiment, identifies complaint categories, assigns urgency scores, generates AI-powered response drafts, and instantly notifies stakeholders of critical feedback. Weekly executive summaries and interactive dashboards provide actionable insights into customer sentiment, review trends, top complaints, top praise, and business performance. The automation eliminates manual review monitoring while enabling proactive reputation management and faster customer response times.
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TACTICAL DIMENSION is a 10-screen cinematic military HUD interface built
entirely with Google Stitch. Inspired by dark tactical aesthetics, the
project features a custom animated boot sequence, targeting ring systems,
a live global logistics map, encrypted comms terminal with real-time
decryption animation, sensor dashboards, diagnostics panels, and a final
void sequence — all connected into one navigable prototype.
The design system is locked across all 10 screens: void black #02040E,
amber #FF8C00, cobalt #00A2FF, Bebas Neue + Space Mono. Every screen
was generated and iteratively refined inside Stitch — moving from a
single descriptive prompt to a fully interactive, motion-rich interface
in one session.
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How Stitch was used by ME ?
Google Stitch was the core tool for every stage of this project:
STREAMING GENERATION
I started with a single detailed prompt describing the tactical aesthetic,
color system, and layout. Stitch streamed the full interface directly to
the canvas in real time — letting me see the design direction immediately
and course-correct early without wasted effort.
IN-PLACE AI EDITS
This was the game-changer. Instead of regenerating screens from scratch,
I used Stitch's in-place edit feature to refine individual elements —
adding HUD overlays, enhancing targeting rings, fixing layout issues,
and layering motion effects — all while preserving the existing design.
Every screen went through 2-4 rounds of in-place refinement.
ITERATION WORKFLOW
The canvas became a living design document. I could see all 10 screens
side by side, compare iterations (old vs new shown simultaneously), and
make decisions fast. Stitch's ability to show before/after versions on
the same canvas made the iteration loop extremely tight.
EXPORT + DEPLOYMENT
Used Stitch's built-in Netlify export to deploy each screen individually,
then connected all 10 into a unified prototype with a custom boot
sequence and navigation system.
DESIGN CONSISTENCY
Stitch maintained the amber/cobalt/void color system and Space Mono +
Bebas Neue typography automatically across all 10 screens — something
that would have taken hours to enforce manually.
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My Feedback on Stitch
Stitch is the fastest path I've found from idea to interactive interface.
What works brilliantly:
— Streaming generation to canvas feels genuinely exciting. Watching the
design appear in real time changes how you think about iteration.
— In-place AI edits are the killer feature. Clicking an element and
describing what to change — without losing everything else — is exactly
how creative tools should work.
— The canvas as a workspace (seeing all screens together) gives a
bird's-eye view that Figma-style tools miss entirely.
What I'd love to see next:
— Video file upload support (not just images) for video backgrounds
— Multi-screen prototype linking built directly into Stitch
— One-click full multi-page site deploy (not screen by screen)
— More control over animation timing and easing in generated motion
Overall: Stitch cut my design-to-prototype time by roughly 80%.
The combination of AI generation + in-place editing + instant export
is a workflow that genuinely didn't exist before. Impressive.
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Live Site : https://tactical-dimension-googleai.netlify.app/
Live Site v2 : https://tactical-dimension.netlify.app/
Stitch Project : https://stitch.withgoogle.com/projects/15697475248820729706
X : https://x.com/NDDimension/status/2062110075444203533?s=20
LinkedIN : https://www.linkedin.com/posts/dhanraj-sharma-nddimension_googlestitch-builtwithstitch-uidesign-ugcPost-7467876011657863168-i0Ep/?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAFzn9PQBrwaChcRrWWQQVV5SA6r16Jm6fP0
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AI Engineer | RAG, AI Agents & LLM Applications
AthletiX Hub — Conversational AI E-Commerce Platform
Built a full-stack fitness supplement e-commerce platform with an integrated conversational AI shopping assistant.
AthletiX Hub combines a Flask backend, MySQL database, responsive web interface, and Dialogflow-powered chatbot to create a conversational shopping experience. Users can browse products and interact with the AI assistant using natural language to add or remove supplements, complete orders, calculate totals, generate order IDs, and track existing orders.
I developed the backend business logic, database integration, conversational workflow, session-based order management, webhook handling, and interactive frontend components.
The project demonstrates how conversational AI can be integrated directly into real e-commerce workflows rather than being limited to simple question-answering.:
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NLP Studio — Interactive Natural Language Processing Platform
Built an interactive NLP platform that brings multiple natural language processing capabilities into a single application. The system performs sentiment analysis, Named Entity Recognition (NER), Part-of-Speech (POS) tagging, and text processing on real-world text data.
I developed the complete application, including the NLP processing pipeline, model integration, backend APIs, and user interface. The project uses Python, spaCy, Scikit-learn, Pandas, and Flask to transform raw text into structured and actionable insights.
The project demonstrates my ability to take NLP models and techniques beyond experimentation and turn them into an interactive, usable AI application.
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AI-Powered Resume & Career Matching System:
Built an AI-powered career matching platform that analyzes candidate profiles and job requirements to identify relevant career opportunities.
The system applies Natural Language Processing and Machine Learning techniques to extract meaningful information from resumes and job descriptions, compare candidate skills with role requirements, identify skill gaps, and generate personalized career recommendations.
The project combines data preprocessing, feature engineering, NLP-based text analysis, similarity matching, and an interactive application layer to turn unstructured career data into actionable insights.
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UI/UX Design | Web and Mobile Developer| | Startups
UI/UX Design | Web and Mobile Developer| | Startups
Streamline Operations with AI-Driven Solutions
Streamline Operations with AI-Driven Solutions
View more →
Software Engineer in Training | MERN Stack Developer
Software Engineer in Training | MERN Stack Developer
Full Stack Developer | System Architect & Backend Specialist
Full Stack Developer | System Architect & Backend Specialist
VendorBridge ERP is a full-stack enterprise resource planning (ERP) platform designed to help businesses manage vendors, inventory, procurement workflows, and day-to-day operations from a centralized dashboard.
Key Features:
• Vendor Management
• Inventory Tracking
• Purchase Order Management
• Role-Based Access Control
• Analytics & Reporting Dashboard
• Secure Authentication System
• Real-Time Data Management
My Contributions:
• Developed the backend using Python, Flask, and MySQL
• Designed RESTful APIs for frontend integration
• Implemented authentication and authorization
• Built database architecture and business logic
• Integrated frontend and backend systems
• Optimized application performance and database queries
Technology Stack:
Frontend: TypeScript, Modern JavaScript, HTML5, CSS3
Backend: Python, Flask
Database: MySQL
Impact:
VendorBridge ERP streamlines business operations by reducing manual processes, improving data visibility, and providing a scalable foundation for managing vendors, inventory, and procurement activities.
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Smart digital vehicle lock — scan QR to pay traffic fines & auto-unlock. Built with ESP32, Flask, IoT & Razorpay payment gateway integration.
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Backend developer skilled in AI, data solutions, and scrape.
Backend developer skilled in AI, data solutions, and scrape.
