Freelance AI Application Developers in IkejaFreelance AI Application Developers in Ikeja
One designer. Messy ideas to shipped, working products.
$10k+
Earned
2x
Hired
5.0
Rating
62
Followers
One designer. Messy ideas to shipped, working products.
Software engineer with expertise in DevOps and AI
$1k+
Earned
1x
Hired
5.0
Rating
9
Followers
Software engineer with expertise in DevOps and AI
Graphic Designer & 3D Animator
$1k+
Earned
1x
Hired
82
Followers
Graphic Designer & 3D Animator
Scaling Businesses with Captivating Designs - Jitter Expert
1x
Hired
5.0
Rating
40
Followers
Scaling Businesses with Captivating Designs - Jitter Expert
Top 1% Mobile Apps and Web Designer
5.0
Rating
42
Followers
Top 1% Mobile Apps and Web Designer
Creative Software Developer
5.0
Rating
9
Followers
Creative Software Developer
Gohighlevel Expert| Fb Ads | Email Marketing |Ai Automation
New to Contra
Gohighlevel Expert| Fb Ads | Email Marketing |Ai Automation
Cover image for AI Social Content & Post
AI Social Content & Post Scheduler, The Tool That Also Generates Leads Searching for an AI social media scheduler that does more than queue up posts? You're in the right place. Most tools stop at automation. The best ones go further they study what your audience is actually searching for and needing, then shape your content to meet that demand, turning everyday posts into a steady stream of qualified leads. If you're still using a scheduler that only tells you when to post, you're missing the bigger opportunity: knowing what to post so it ranks, resonates, and converts. From Publishing Tool to Growth Engine Traditional schedulers answered one question: when should this post go live? AI-driven platforms now answer a bigger one: how does this post turn a stranger into a customer? Here's what changed. Modern tools combine three things that used to live in separate systems content creation, publishing automation, and audience intelligence. When AI sits across all three, it stops being a passive queue and starts actively working the funnel. Ranking Your Content by What People Actually Need Here's the piece most schedulers skip entirely: matching content to real search intent and audience demand, not just posting on a schedule. An AI social content and post scheduler that generates leads has to solve this first, because content that ranks is content that gets found and content that gets found is content that can convert. This works in a few concrete ways: Demand detection. The AI scans what people are already asking, searching, and commenting about in your niche trending questions, recurring pain points, common objections and surfaces those as content ideas before you even open a blank draft. Intent-matched drafting. Instead of one generic post, the AI tailors the angle to the intent behind the need: informational ("how does this work"), comparison ("X vs Y"), or ready-to-buy ("where can I get this"). Each intent type gets written and formatted differently because each one ranks and converts differently. Keyword and topic alignment. Captions, hashtags, and even video hooks get checked against what's actually being searched, so a post isn't just creative it's discoverable. Feedback loop from performance. Every post's ranking and engagement data feeds back into the model, so the next batch of content gets sharper at anticipating what people need instead of guessing. The result: your content shows up when someone is already looking for an answer which is exactly the moment a lead is easiest to capture. How AI Schedulers Actually Generate Leads Smart content generation tuned for conversion Instead of generic captions, AI models analyze what has driven engagement, clicks, and replies in your niche, then draft posts designed to prompt action a comment, a DM, a link click not just a like. Small wording shifts (a question instead of a statement, a clear CTA instead of a vague sign-off) measurably change how many people respond Optimal timing based on real audience behavior Rather than posting on a fixed schedule, AI tracks when your specific followers are actually active and adjusts posting windows automatically. More eyeballs at the right moment means more chances for someone to raise their hand. Automated comment and DM triage This is where the real lead-gen magic happens. AI can scan incoming comments and messages, flag high-intent language ("how much," "do you ship to," "is this available"), and either respond instantly or route the conversation to a human. A comment on a Tuesday post can become a qualified lead in your CRM by Wednesday morning without anyone manually monitoring the feed. Built-in lead capture flows Many platforms now let you attach lightweight forms, quiz-style DMs, or link-in-bio funnels directly to scheduled posts. The post itself becomes the top of a mini funnel rather than a dead end. Performance data that sharpens targeting over time Every post produces data: who engaged, what they clicked, whether they converted. AI feeds this back into future content decisions, so your lead quality improves with every cycle instead of staying flat. Why This Matters for Small Teams and Solo Marketers Lead generation used to require a stack of separate tools a scheduler, a chatbot, a CRM, an analytics dashboard all stitched together manually. AI-powered schedulers are collapsing that stack. A single tool can now: Draft and schedule content Post at the ideal time for each platform Detect buying signals in real time Capture and hand off leads automatically Report on what's actually working That's a meaningful shift, especially for small businesses and solo marketers who don't have a full growth team to manage every touchpoint. What to Look for If You're Choosing a Tool Not every scheduler with "AI" in the name does this well. When evaluating options, look for: Intent detection, not just sentiment analysis the tool should be able to tell "interested buyer" apart from "casual fan" Native integrations with your CRM or email tool, so leads don't sit stranded in a social inbox Transparent analytics showing the path from post to lead, not just vanity metrics like reach Human handoff options so hot leads reach a real person quickly The Bottom Line Scheduling was always the entry point, not the destination. The tools built for it have simply grown up, using AI to turn everyday content into a steady, low-effort source of qualified leads. If your current scheduler is only saving you time on publishing, it's worth asking what else it could be doing for your pipeline.
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Cover image for AI Outbound Calling Agent Vapi
AI Outbound Calling Agent Vapi AI Setup & Integration for Real Estate Leads Most real estate leads go cold not because they weren't interested, but because nobody called them back fast enough, or the follow-up stopped after one or two tries. That's the gap I fix. I build and set up AI voice agents (using Vapi AI) that call your leads automatically right when they come in, and again on a schedule if they don't answer or don't book. This isn't a generic chatbot bolted onto your CRM. It's a voice agent trained on how your business actually talks to leads, connected directly into your pipeline so every call, answer, and outcome gets logged where you can see it. I have set this up before for real estate teams and agents, so I know where the calls usually break down and what actually needs to be automated versus what still needs a human touch. What I set up for you: Vapi AI voice agent built around your real estate scripts (qualifying buyers/sellers, booking showings, confirming appointments, handling objections) Outbound calling flows so new leads get called within minutes, not hours Automatic re-attempts for leads who don't pick up no lead sits untouched Integration into your CRM (GoHighLevel or whatever you're running) so call outcomes update your pipeline automatically Call transcripts and summaries so you know exactly what was said, without listening to every recording Basic reporting so you can see call volume, answer rates, and where leads are dropping off What I need from you to get started: Access to your CRM (or details on what you're currently using) Your current call script or a sense of how you talk to leads Lead source info (where leads are coming from, volume, etc.) If you're not sure whether your current setup even needs this, happy to hop on a call and look at what's actually happening with your leads first no pressure either way.
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AI systems to automate and scale your business
New to Contra
AI systems to automate and scale your business
Cover image for AI Recruitment Automation Platform |
AI Recruitment Automation Platform | AI Resume Screening System, OpenAI, Supabase & Calendly Integration A fast-growing company needed an intelligent recruitment automation system to streamline their hiring process, reduce manual resume screening, and improve candidate response time. The goal was to build an AI-powered workflow that could automatically analyze CVs, summarize candidate profiles, schedule interviews, and update the hiring pipeline without recruiter intervention. To achieve this, I developed a full AI recruitment automation platform using Lovable, Supabase, OpenAI, and Calendly integration. The system was designed as a scalable AI SaaS-style workflow that connects candidate data ingestion, intelligent evaluation, and automated scheduling into a single seamless pipeline. Using OpenAI API, the platform performs AI resume screening by extracting key skills, experience levels, and job relevance from uploaded CVs. It then generates structured candidate summaries that help hiring teams make faster, data-driven decisions. This significantly reduced manual screening workload and improved hiring efficiency. Supabase was used as the backend database to securely store candidate profiles, hiring stages, and interview data in real time. This enabled a structured recruitment pipeline with live updates and seamless data synchronization across the system. I also integrated Calendly to automate interview scheduling, allowing shortlisted candidates to instantly book interview slots without recruiter involvement. This eliminated back-and-forth communication and accelerated the hiring process. Lovable was used to rapidly build and deploy the AI web application interface, creating a clean and intuitive dashboard for recruiters to manage applicants, track progress, and view AI-generated insights. Key features included: AI resume screening and analysis Automated candidate summarization AI recruitment workflow automation Intelligent hiring pipeline management OpenAI-powered candidate evaluation Supabase backend integration Calendly interview scheduling automation AI SaaS recruitment platform Full-stack AI web application Workflow automation for HR teams AI-powered decision support system Recruitment pipeline automation Scalable AI hiring assistant No-code/low-code AI deployment with Lovable End-to-end hiring process automation This project modernized the client’s recruitment process by introducing AI-driven automation, reducing hiring time, improving candidate quality assessment, and creating a scalable recruitment workflow powered by generative AI and intelligent systems.
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Cover image for AI Booking & Scheduling Assistant
AI Booking & Scheduling Assistant for Consultants The client needed a better way to manage appointment bookings, client onboarding, and calendar coordination without spending hours handling administrative tasks manually. Their scheduling process involved constant back-and-forth communication, missed bookings, and manual follow-ups, which slowed down operations and affected the client experience. To streamline the process, I developed an AI-powered booking and scheduling assistant that automated appointment management from start to finish. Using Calendly and Google Calendar, I created a seamless scheduling system that allowed clients to book available time slots automatically while keeping calendars synced in real time. I integrated OpenAI to generate intelligent responses, automate onboarding communication, and personalize confirmation and reminder messages. With Zapier, I connected the workflows across multiple platforms to automate appointment confirmations, reminder notifications, onboarding forms, and follow-up actions after meetings were completed. The automation helped the client: Eliminate manual scheduling tasks Reduce missed appointments and scheduling conflicts Automate reminders and onboarding communication Improve response times for new inquiries Keep calendars synchronized automatically Deliver a smoother booking experience for clients By implementing this system, the client was able to save time, improve operational efficiency, and focus more on consulting work instead of administrative coordination.
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Cover image for AI Email Outreach Automation System
My
AI Email Outreach Automation System My Role: AI Automation Developer Industry: Sales & Marketing Project Duration: 3 Weeks Project Cost: $800 Project Timeline: Started: January 2026 Completed: February 2026 Tools Used: Instantly, OpenAI, Apollo.io (http://Apollo.io), Make.com (http://Make.com) Project Description: The client was struggling with manual cold outreach and inconsistent follow-ups, which made it difficult to scale their lead generation efforts. Their sales team spent hours writing emails, tracking replies, and managing follow-ups manually, leading to low response rates and missed opportunities. To solve this, I built a fully automated AI-powered email outreach system that streamlined the entire outbound process from lead sourcing to follow-up management. Using Apollo.io (http://Apollo.io), I automated lead sourcing and segmentation based on the client’s target audience. I then integrated OpenAI to generate personalized cold emails tailored to each prospect, helping the campaigns feel more human and relevant at scale. With Make.com (http://Make.com), I connected the entire workflow into one automated system that handled email sequencing, follow-up triggers, response tracking, and engagement monitoring. Instantly was used to manage campaign delivery and improve outreach performance. The automation allowed the client to: Reduce manual outreach work significantly Send highly personalized emails at scale Automate follow-ups without human intervention Track lead engagement in real time Improve response and conversion rates Create a scalable outbound lead generation process By the end of the project, the client had a more efficient sales workflow, faster outreach operations, and a reliable system for generating and nurturing leads automatically.
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Cover image for AI Internal Knowledge Base Assistant
A
AI Internal Knowledge Base Assistant A growing company was facing challenges with internal knowledge management. Team members constantly struggled to find the latest SOPs, onboarding documents, operational guidelines, and company resources across multiple platforms. This led to repeated questions, wasted time, slower onboarding, and operational inefficiencies across departments. The client needed an AI-powered internal assistant that could centralize company knowledge and allow employees to instantly retrieve accurate information without manually searching through documents and folders. To solve this, we developed a custom AI internal knowledge base assistant using OpenAI, Notion, Slack, and Zapier automation workflows. The system was designed to connect the company’s operational documentation stored in Notion with an AI-powered conversational assistant accessible directly inside Slack. Employees could ask questions in natural language and instantly receive contextual answers, summaries, SOPs, and process guidance in real time. We automated the synchronization of internal documentation so the assistant could continuously reference updated company information without requiring manual maintenance. This helped ensure teams always had access to the latest operational knowledge and procedures. One of the biggest challenges was improving response relevance while keeping answers concise and easy for teams to understand. We addressed this by implementing structured AI prompting, intelligent workflow automation, and optimized knowledge retrieval processes to improve answer accuracy and consistency. The final solution significantly reduced repetitive internal support requests, improved team productivity, accelerated onboarding, and streamlined access to operational knowledge across the organization. Tools & Technologies OpenAI API Notion Slack Zapier AI Automation Workflow Automation AI Knowledge Base API Integration Conversational AI Services Included AI assistant development Internal knowledge base automation Slack AI assistant integration Notion integration Workflow automation setup AI chatbot development Business process automation Team productivity automation AI-powered documentation retrieval
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