AI B2B Lead System Setup

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Python, and similar tools. I have worked with pytorch, and tensorflow to develop DL models, .I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@bojans9

Hi, Bojan here, from Serbia. What matters most in setting up your AI B2B lead system with surfaces reminders is less manual work, with every lead and record in the right place. I'm a senior full stack developer with 8+ years of experience working with CRM and Machine Learning (ML). The real challenge is field mapping and triggers in n8n: duplicates, API limits and automations that fire each other in a loop. A common issue: no duplicate check, so records multiply every time a form or sync runs. My plan: first, map the current process, fields and hand-offs. Then, build the pipelines and automations in n8n with duplicate checks. Finally, run real test records through every path before switching over. I'd start with the main pipeline and automations as phase one. I've done CRM and automation work before. A few questions to better understand the scope: 1. Does anyone edit these records by hand? I set rules so automations never overwrite their manual changes. 2. Start with the workflow that saves the most time? I'd recommend it, value shows fast and the rest builds on it. 3. Will non-technical staff use the CRM daily? Then I keep views and required fields minimal, so they keep using it. I can start right away. Happy to go over the details here in chat and suggest the best approach. Looking forward to hearing from you, Bojan

@EnGier

I'm a CRM SYSTEMS EXPERT. Your project aligns perfectly with my core capabilities, which have consistently resulted in a foreignized sales funnel that delivers on exactly what you’re looking for: actionable, high-quality leads. The unique Pune construction market requires an even more remarkable system to stay ahead of competition. By combining AI data mining and precise CRM integration, this holistic approach ensures we not only collect all relevant information from reliable data sources (including satellite imagery) but cleanly store them on organized dashboards ready for efficient sales route planning. The result? Continuously updated project insights paired with verified stakeholders and actionable analysis that can be easily filtered and exported as per your preference. Send me a message.

@pvsysgroupinc

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@jeremyc121

Hi, I have strong experience in Python, AI/ML, web scraping, backend systems, APIs, automation, databases, and CRM/data integrations, and this project fits my technical background very well. I’d build this in phases rather than treating it as a simple lead scraper. First, I’d map the construction-project data sources and workflow, then create a pipeline to identify new projects, normalize and deduplicate the data, enrich each project with relevant decision-makers, classify opportunities by stage and location, and push qualified leads into a searchable CRM/dashboard. For the first MVP, I’d focus on reliable sources such as RERA and public construction data, contact enrichment, lead scoring, zone-wise grouping, n8n automation, and a lightweight HubSpot/Power BI or custom dashboard. Satellite-based construction-stage detection can then be evaluated as a separate advanced phase once the base pipeline is proven. I’d also include reminders, follow-up history, search/filter/export, documentation, and a final demo showing new projects flowing through the system. Let’s connect in chat to discuss the Pune meeting requirement, available data sources, and what you want included in the first MVP. With Regards, Jeremy

@NakshInfotechh

Dear client, I can help you build this AI-driven lead generation system for the construction industry. I understand that the goal is not just to collect contact numbers, but to find new/rising construction projects, identify their current stage, find the right decision-makers, and manage the leads in one place. I can work on: Data collection from public sources and relevant portals Project and construction-stage tracking Lead/contact enrichment AI-based lead scoring and segmentation Zone-wise grouping for sales planning CRM integration with HubSpot or another suitable option Dashboard with search, filters and export Automated reminders and follow-ups For the tech stack, I can review your requirements first and suggest whether n8n, Power BI, HubSpot, custom APIs/scraping, or a combination would be the most practical approach. Happy to discuss the project and take it forward. Thanks

@pandaymano8

Hey, I understand the core goal is to identify new and rising construction projects early, track their current stage, and connect you with the right builders, developers, contractors and procurement decision-makers before competitors. I’ll build the complete system to continuously collect and enrich project data, classify opportunities by construction stage, score and segment leads by zone, and push everything into a lightweight CRM/dashboard for search, filtering, follow-ups, reminders and sales tracking. We can finalize the right stack during the Pune session, and I’ll take it from workflow mapping to a working automated pipeline, dashboard and live demo showing new projects being discovered and classified. Lets connect on chat to discuss further. Best Regards, Aisha

@kiruthika36

Short Bid Hi, I can help build this AI-driven B2B lead-generation engine for the construction ecosystem. My team has experience with AI/ML, data extraction, automation, n8n, APIs, dashboards, CRM integrations and backend development. We can build a pipeline that identifies new/rising projects, enriches decision-maker data, classifies construction stages, scores opportunities, maps them geographically and pushes qualified leads into a CRM such as HubSpot. I’m also comfortable starting with a face-to-face requirements session in Pune to map the workflow, data sources, technology stack and milestones before development. Let’s meet, review your exact process, and build a practical MVP that can continuously generate and prioritize new construction opportunities.

@iFixNow

Hi, there MahaRERA lists about 33,000 ongoing projects, yet over 8,200, including 2,311 in Pune, missed their latest quarterly update. A RERA-only feed shows stale stages and misses commercial jobs. Stone is bought near finishing, so PMC and PCMC permits give earlier signals, satellite checks suit only high-value sites, and DPDP rules require a source and opt-out log for every contact. As Owner of World SEO Group, I built an n8n pipeline for a Florida tile and countertop supplier that pulled county permits, tagged each job's build stage, enriched builder, architect and designer contacts, and pushed scored leads into HubSpot by zone. It surfaced about 2,400 projects a quarter and lifted quote requests by 38% in six months. As CTO of Assist A Boss, I run our n8n, CRM and Power BI automations. My plan: - Merge MahaRERA, PMC and PCMC permit data into one staging table - Use AI to classify stage and flag projects nearing finishing - Verify decision-maker contacts, then score and group by zone - Sync to HubSpot free CRM with reminders and a Power BI view I'm US-based, so I'd run the kickoff as a video workshop with screen share. If you’re looking for scalable, practical value rather than just a one-time project, I can help you achieve meaningful results through small but lasting improvements that will exceed your expectations and surprise everyone involved. William Berry