Give Last Price Not Placeholder ! Marketing Experts -Job Platform Development- AI Matching & Smart Hiring (READ ALL DOCUMENTATION)

Platform Overview:

We are developing a platform designed exclusively for marketing experts to create detailed profiles and become visible to companies seeking permanent or temporary hires. Experts can interact with potential employers, schedule appointments, and manage communications directly through the platform. Importantly, no financial transactions will take place within the platform.

Expert Dashboard:

The expert dashboard will offer a variety of features, including:

Detailed expert information, such as skills and experience
A portfolio of ads (documents or links)
CV/resume uploads and more
During registration, experts must agree that their profile will be publicly accessible to companies searching for candidates. Additionally, social media sharing options and other basic information will be integrated, as detailed in the job board section below.

Company Dashboard:

Companies will be able to search for experts using an AI-powered matching system or a traditional search function to find the best candidates based on their specific requirements. Key features for companies include:

The ability to manage the interview process within the platform (e.g., move candidates forward, accept, reject)
Automated email notifications based on the interview status
Direct contact with experts for consultations or other services
No fees will be involved for transactions on the platform. HR teams will have access to a talent pool where they can search for candidates using keywords, categories, experience, and other filters. The AI matching tool will allow companies to input specific criteria, such as "SEO manager with over 5 years of experience," to find suitable candidates.

Additional Platform Features:

Although there are no paid features at present, the system will be built to allow for future adjustments if needed.

Blog Functionality:

The platform will also include a blog section with basic social sharing features, author information, and expert profiles displayed alongside relevant blog posts. Blogs can also be showcased on an expert's individual profile.

AI Matching System
The AI matching system should intelligently connect companies with the best experts based on specific requirements. Here's how it could work:

A. For Companies
Input-based Matching: Companies can input specific job descriptions, required skills, experience levels, and industry preferences. For example: “Looking for a content marketing specialist with over 5 years of experience in eCommerce.”
Machine Learning Algorithms: The system would analyze job requirements and automatically match them with expert profiles that align based on:
Skills and expertise
Years of experience
Industry background
Project history and portfolios
Certifications, education, and languages spoken
Contextual Understanding (NLP): Using NLP, the system can understand the intent behind job descriptions. For instance, if a company asks for a “social media expert with experience in managing campaigns,” the system will look for profiles mentioning both campaign management and social media, even if they use slightly different terminology.
B. AI Ranking & Suggestions
Ranked Suggestions: The AI will rank experts based on how well they match the job criteria, showing the most relevant profiles at the top.
Learning from Preferences: The system can learn from the company’s past preferences (e.g., experts previously hired, job descriptions frequently posted) to provide more tailored recommendations in the future.
Diversity and Skill Gaps: The AI can suggest candidates that may not be a 100% match but possess other relevant qualities that the company might not have considered, adding a human-like perspective to the AI suggestions.
C. Automated Alerts and Recommendations
Proactive Suggestions: The AI can notify companies of newly registered experts who match previous search criteria or job posts, ensuring companies always see fresh talent.
Dynamic Filtering: AI will automatically adjust search results if a company’s criteria are too broad or too specific, helping to refine searches in real-time for optimal results.
2. AI Search System
The AI-powered search system would allow both companies and experts to navigate the platform effectively. It should include advanced search functionality with AI enhancements.

A. For Companies:
Keyword & Phrase Search (NLP): Companies can search for experts using natural language queries. For instance, a company can type “SEO expert in fashion industry”, and the AI search will pull up profiles with matching keywords, skills, and industries.
Skill and Task Filters: The search function should offer filters such as:
Years of experience
Industry type (e.g., B2B, retail, eCommerce)
Expertise level (e.g., junior, mid-level, senior)
Specific skill sets (e.g., Google Ads, email marketing, PPC)
Geographic location (if relevant)
Contextual Understanding & Synonyms: The AI should understand different terms referring to the same skill or concept. For example, “content strategy” and “content marketing” might both lead to profiles with the relevant skill set, even if different terms are used.
AI Sorting & Ranking: The AI search results should be ranked based on relevance to the search input. This can be achieved by analyzing the expert's profile content, recent activity, and historical success.
B. For Experts:
Job & Project Search: Experts can search for job postings or projects using the same AI system. They should be able to input specific preferences like “remote, social media manager, long-term contract.”
Opportunity Matching: The AI should recommend relevant job posts or consulting opportunities based on the expert’s profile, skillset, and past work. For example, if an expert has extensive experience with Facebook ads, they might be matched with job posts seeking expertise in this area, even if they haven’t actively searched for it.