Projects using Material UI in FaisalabadProjects using Material UI in Faisalabad
Cover image for Keyword Finder, AI SEO Keyword
Keyword Finder, AI SEO Keyword Research & SERP Intelligence SaaS Built a distributed SEO research platform that expands a single seed keyword into thousands of opportunities combining Google Ads volume data, live SERP analysis, NLP competitor scoring, domain authority metrics, and AI content brief generation into one unified workflow with no CSV exports or tool-switching. SEO agencies were stitching together four or five separate tools a keyword research tool, a SERP analyser, a domain authority checker, an NLP scorer, and a rank tracker and manually reconciling their exports in spreadsheets. Scaling that workflow across multiple clients and thousands of keywords every month was unsustainable. Keyword Finder is built on Django 5, FastAPI, Flask microservices, React 18, and GPT-4o. The platform supports 4 keyword generation modes — Seed, URL, Competitor, and Bulk. In Seed mode it builds prefix, suffix, and alpha combination lists, fires them to Google Autocomplete in parallel with rotating proxies, then runs a second deep expansion round before fetching volume, CPC, and competition data from the Google Ads API via OAuth2. SERP analysis jobs are distributed across a dedicated Flask scraping microservice fleet with round-robin load balancing and a four-tier fallback chain direct, Bright Data, scraping.narf.ai (http://scraping.narf.ai), and CrawlBase — ensuring near-100% page retrieval success regardless of target site protection. Each competitor URL is processed through a full NLP pipeline using YAKE and NLTK, with domain authority pulled from Moz and Majestic via DomDetailer and cached locally to avoid redundant API calls. The Ranking Recipe lets agencies define custom Easy, Medium, Hard, and Easiest thresholds across 12 metrics turning keyword prioritisation from guesswork into a data-driven decision. AI content briefs are generated using GPT-4o and Cohere with full keyword context, cutting brief writing time from hours to minutes. Real-time job progress is delivered via Django Channels WebSockets, with Celery and Redis managing the async scraping queue. Supports 200+ Google country domains for multi-market research. Tech Stack: Django · FastAPI · Flask · React · GPT-4o · LangChain · Celery · Redis · PostgreSQL · Google Ads API · Bright Data · YAKE · NLTK · Moz · Majestic · Material UI · Redux
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Cover image for WriteWave, Enterprise AI Content Automation
WriteWave, Enterprise AI Content Automation SaaS for Agencies Built an end-to-end AI content automation platform for digital marketing agencies covering everything from SERP competitor research and NLP keyword extraction through AI article generation, image creation, schema injection, and auto-publishing to 10+ CMS platforms, all with zero manual steps between brief and live URL. Agencies managing content for multiple clients were stuck repeating the same manual workflow for every article SERP research, keyword extraction, writing, sourcing images, adding schema, scheduling, and publishing across dozens of clients. Scaling to hundreds of articles per month was operationally impossible without full automation. WriteWave is a multi-tenant agency SaaS built on Django 5, Celery, React 18, and GPT-4o. The platform offers 8 distinct article generation modes including a one-click engine that scrapes top SERP competitors, extracts NLP keywords via YAKE and NLTK, builds an optimised outline, generates full HTML content, creates AI images per section, injects internal links from sitemap crawls, adds DoFollow and NoFollow external links, embeds YouTube videos, and scores every article from 0 to 100 against NLP targets. A reading-level humanisation system adjusts vocabulary complexity from Grade 5 through college graduate. The standout feature is an Agentic AI Journalist powered by VAPI an AI phone agent that autonomously calls real human experts, conducts a structured interview, transcribes the conversation, and generates a complete publishable article from the transcript. Agencies get genuinely expert-sourced content at scale without journalist hours. Business Profile articles pull live Google reviews, Maps photos, and inject JSON-LD LocalBusiness schema automatically. All 10+ publishing integrations — WordPress, Shopify, LinkedIn, Wix, Squarespace, Medium, and more — adapt HTML per platform so no manual reformatting is ever needed. Real-time article generation progress is delivered via Django Channels WebSockets, with Celery and Redis handling async workloads at agency scale. Tech Stack: Django · React · GPT-4o · LangChain · Celery · Redis · PostgreSQL · VAPI · OpenAI · NLTK · Material UI · TipTap · Redux
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Cover image for SlateDesk, Film & TV Talent
SlateDesk, Film & TV Talent Submission Management Platform Built a dual-role SaaS platform for the entertainment industry that replaces chaotic email chains and spreadsheets with a structured, auditable talent submission system for film and TV production. Production executives at studios and production companies were managing hundreds of talent submissions manually PDF reels, cover letters, and talent bios arriving via email with no unified tracking. There was no visibility for agents or managers on the other side, and no scalable way to shortlist, schedule meetings, or export reports. SlateDesk is a full-stack web application built on Django 5, React, Redux, PostgreSQL, and Material UI designed around two distinct user roles: Executives and Representatives. The platform features a 14-stage submission workflow with full timestamped status lifecycle, UUID-based public submission URLs with configurable caps so agents can submit without creating an account, an internal deal pipeline with weekend-read flags and shortlist tracking, meeting scheduling with rich-text emails, contact management with tag-based segmentation and bulk CSV import, and Stripe subscription tiers enforcing workspace limits at the application layer. SlateDesk gave both sides of the entertainment industry a purpose-built workspace. Executives gained full visibility across all active projects with exportable filtered reports. Representatives could track every submission they made and see any notes executives chose to share publicly. The public link system enabled executives to onboard any agent or manager instantly without account friction. Tech Stack: Django · React · Redux · PostgreSQL · Python · Material UI · Stripe · JWT Auth · REST API
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