Freelancers using OpenAI in GujranwalaFreelancers using OpenAI in Gujranwala
Not just built fast,but built to scale.That’s the InceptMVP.
$100k+
Earned
35x
Hired
5.0
Rating
179
Followers
Not just built fast,but built to scale.That’s the InceptMVP.
Cover image for Writeless – AI Academic Writing
Writeless – AI Academic Writing Assistant (Built with Bubble) Overview Writeless is an AI-powered academic writing platform built using Bubble, designed to help students overcome writer’s block and create structured, high-quality content with ease. It supports every stage of the writing process—from idea generation to final formatting—making academic work faster, clearer, and more efficient. Platform Approach Developed on Bubble.io (http://Bubble.io), Writeless enables rapid development, scalability, and a seamless user experience. By combining AI with structured writing tools, the platform allows students to brainstorm ideas, generate outlines, draft essays, and refine their work within one centralized system. Challenge Students often struggle with starting assignments, organizing their thoughts, and maintaining clarity throughout their writing. Traditional workflows can be time-consuming and overwhelming, especially when dealing with complex topics and strict academic formatting requirements. Solution Writeless is built as a scalable Bubble-based web application that enhances productivity through intelligent automation. It helps users quickly generate ideas, create structured outlines, and expand them into full drafts. The platform also improves writing quality by refining clarity, tone, and organization, while simplifying citation generation and formatting across common academic styles. Technology By leveraging Bubble’s no-code architecture, Writeless supports fast iteration, flexible workflows, and seamless integration with AI APIs. This ensures the platform remains scalable, efficient, and easy to enhance over time. Outcome Writeless transforms academic writing into a guided, efficient, and stress-free experience—empowering students to focus on learning, think critically, and produce high-quality academic work with confidence.
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Cover image for Sole App – Wellness App
Sole
Sole App – Wellness App Sole is a daily wellness and reflection platform designed to help users build self-awareness through structured journaling. It delivers one thoughtful question each day, encouraging mindful reflection and consistency. Users can also gain perspective by viewing anonymized responses from others answering the same prompt. Overview The Wellness App is a cross-platform reflection and mindfulness platform designed to encourage daily self-awareness through guided questions and shared anonymous reflections. Built with a structured admin-driven system, it allows users to engage with daily prompts, submit personal responses, and gain insight from others experiencing the same question — creating a simple yet meaningful wellness routine. Challenge Most wellness and journaling apps focus on isolated self-reflection, which often leads to low engagement over time. Users lack a sense of shared experience, accountability, and connection in their personal growth journey. At the same time, content in many apps is static and not personalized or time-based. The Wellness App was designed to solve this by introducing a daily structured reflection system combined with controlled social insight, while keeping privacy and simplicity intact. Solution We developed the Wellness App as a daily question-based reflection platform, where content is fully managed from the admin panel and user engagement is driven through timed, structured interactions. Admin Panel (Content Management) Admins can create and schedule wellness questions for specific dates, ensuring users receive a fresh reflection prompt every day. This allows the platform to guide users through a curated mental wellness journey over time. Admin Capabilities: Add and schedule daily wellness reflection questions Assign questions to specific future dates Manage content flow for consistent daily engagement Daily User Experience Each day, users are presented with a single wellness question assigned to that date. They can reflect and submit their personal response directly within the app. Once a response is submitted, users are shown three anonymized responses from other users who answered the same question, creating a sense of shared experience without compromising privacy. User Features: Daily personalized reflection question Submit and save daily responses View anonymized responses from 3 other users Access full history of past reflections Edit and manage profile information How It Works Admin schedules questions for future dates Users receive one question per day Users submit private reflections System groups responses by question After submission, users see 3 random peer reflections All responses are stored in a personal reflection history The system promotes consistency, emotional awareness, and gentle social connection while maintaining privacy and simplicity.
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Full Stack Engineer
New to Contra
Full Stack Engineer
Cover image for AI-Powered Lead Automation Website for
AI-Powered Lead Automation Website for a Real Estate AI Startup Built a full marketing site for a startup selling AI voice + chat automation to real estate agencies — the kind of project where the design had to sell "AI that never sleeps" before a single line of copy did. The challenge: The client's pitch was simple but the proof had to be visual: leads get missed after hours, after open homes, and in cold databases — and their AI catches all three. The site needed to feel alive — like the AI was actually running in the background — not just describe automation with a static hero image. What I built: A dark, glass-morphic hero with a live animated 3D AI avatar (Three.js) that reacts and pulses, paired with a custom cursor and magnetic buttons for a premium, "always-on" feel Animated counters and a scrolling proof ticker (GSAP + ScrollTrigger) that reveal results and capabilities as you scroll, instead of dumping everything above the fold A "Problem" section built around four real numbered failure points agencies actually experience (late-night enquiries, open-home follow-up, vendor nurture, database reactivation) — each paired with how the AI solves it A live embedded chat bot demo panel plus a placeholder for a voice bot demo, so prospects could try the product instead of reading about it A 4-step "how it works" process timeline and a results section translating automation into business outcomes (more appraisals, faster response time, always-on coverage) Full mobile responsiveness and a booking-call CTA wired straight into their CRM funnel Stack: Semantic HTML5 with a token-based CSS architecture (custom properties, fluid typography, CSS Grid) for a maintainable design system; GSAP + ScrollTrigger driving the scroll-based motion; Three.js/WebGL powering the real-time 3D avatar; vanilla ES6+ for interaction logic (no framework overhead); integrated with a CRM booking API for lead capture and routing. The result: A site that doesn't just claim "AI that never misses a lead" — it demonstrates it, from the first scroll to the live chat demo, giving the client a genuinely differentiated landing page in a market full of templated agency sites.
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AI Engineer | Full-Stack Engineer I Blockchain Developer
AI Engineer | Full-Stack Engineer I Blockchain Developer
Cover image for AI-Powered Application - LLM Integration
AI-Powered Application - LLM Integration & Intelligent Automation A production-grade application that leverages large language models (LLMs) to deliver intelligent automation, real-time assistance, and enhanced user experiences. Core Features: Multi-turn conversational AI with context awareness Retrieval-Augmented Generation (RAG) for knowledge-grounded responses Function calling for external API integrations Real-time streaming responses for better UX Prompt engineering for task-specific outputs Fine-tuned models for domain-specific use cases Vector database integration (Pinecone, Weaviate) Intelligent document processing & summarization Application Capabilities: Natural language understanding & processing Automated content generation Smart data extraction from unstructured text Intelligent customer support automation Code generation & debugging assistance Real-time translation & multilingual support Advanced search with semantic understanding Personalized recommendations Tech Stack: LLM APIs: OpenAI (GPT-4), Claude, Cohere Frontend: React, Next.js, TypeScript, Tailwind CSS Backend: Node.js, Express, FastAPI (Python) Vector Databases: Pinecone, Weaviate, Chroma Infrastructure: Docker, AWS, Vercel Monitoring: LangSmith, Helicone for LLM tracking Architecture Highlights: ✓ Asynchronous processing for scalability ✓ Caching strategies to optimize LLM costs ✓ Error handling & fallback mechanisms ✓ Rate limiting & usage monitoring ✓ Security: API key management, data encryption ✓ Performance: Sub-second response times ✓ Cost-optimized with token management This project demonstrates expertise in: LLM integration and orchestration Prompt engineering and optimization RAG pipeline development Production-grade AI systems Full-stack application architecture
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Cover image for Time-Tracker Pro — Intelligent Time
Time-Tracker Pro — Intelligent Time Management & Productivity SaaS A comprehensive SaaS platform that helps teams and freelancers track time, manage projects, and optimize productivity with AI-powered insights. Core Features: Real-time time tracking with automatic detection Project & task management with hierarchical organization Detailed time analytics and productivity reports Team collaboration & billable hours tracking Invoice generation from tracked time Browser extension for seamless tracking Mobile app for on-the-go time logging Idle time detection & smart reminders Integration with popular tools (Slack, Jira, Asana, Google Calendar) AI-Powered Capabilities: Automatic activity categorization using machine learning Predictive project time estimates Productivity insights & trend analysis Smart recommendations for time optimization Natural language project/task creation Anomaly detection for unusual patterns Dashboard & Reporting: Real-time team activity dashboard Customizable productivity reports Time distribution charts & visualizations Client billing reports with detailed breakdowns Performance metrics & KPIs Export to PDF, CSV, or integrate with accounting software Technical Stack: Frontend: React, Next.js, TypeScript, Tailwind CSS Backend: Node.js, Express, NestJS Database: PostgreSQL for relational data, Redis for caching AI/ML: Python (scikit-learn, TensorFlow) for predictions Real-time: WebSockets for live updates Infrastructure: Docker, AWS EC2, S3, Lambda CI/CD: GitHub Actions Authentication: OAuth 2.0, JWT tokens Key Accomplishments: ✓ 1000+ concurrent users support ✓ Sub-100ms API response times ✓ 99.9% uptime SLA ✓ Encrypted data storage & transmission ✓ GDPR compliant ✓ Scalable microservices architecture ✓ Automated testing (Jest, Cypress) This project demonstrates expertise in: SaaS architecture & scalability Real-time systems & WebSockets AI/ML integration for predictions Payment processing & invoicing User authentication & security Team collaboration features Production deployment & DevOps
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Automation & AI agents that replace manual work n8n, Python.
New to Contra
Automation & AI agents that replace manual work n8n, Python.
Full-stack Laravel and Vue.js developer with 5+ years of exp
Full-stack Laravel and Vue.js developer with 5+ years of exp
Full Stack AI Engineer | Next.js · OpenAI · LangChain · RAG
Full Stack AI Engineer | Next.js · OpenAI · LangChain · RAG