HR PROFILING

“Unlocking Talent Insights Through Social Media”

Application leverages data from social media to provide deep insights into job candidates. Utilizing AI and Big Data Technology, this application analyzes the demographics and psychographics of candidates, including their preferences, interests, and behavioral patterns. This information adds value to HR teams in assessing the suitability of candidates for the offered position

what makes us different

Collection, Processing & Analytics

Crawler for Social Media

Crawler for Social Media is an automated data collection module designed to gather information from platforms such as Twitter, Instagram, Facebook, YouTube, and TikTok.

Demographic Recognition

Demographic Analytics addresses the main challenge in social media profiling, which is the often incomplete nature of the data, unlike formal citizen databases that require all fields to be filled.

Psycographic Recognition

Psychographic Analytics identifies personality traits and attitudes that shape an individual's lifestyle and daily behavior. The scope of psychographics is vast, encompassing areas such as arts and culture, business, economics, profession, education, fashion, culinary interests, politics, hobbies, sports, technology, and more.

Personality Recognition

Personality test maps the tendency of choice based on psychographics, Big5 Personality divides 5 traits of Extroversion, Agreeableness, Conscientiousness, Neuroticism, and Openness to experience.

Emotion and Sentiment Mining

Emotion Mining is used to map perceptions in more detail, not only positive and negative but also expressions of joy, sadness, anger, trust, fear, surprise. , etc.

Activity and Conversation Analytics

Lorem ipsum dolor sit amet, consectetur Activity and Conversation Analytics tracks personal activity on social media, including activity levels (exposure), active hours, content types (text, image, video), post types (post, reply, response), conversation themes, engagement levels, and target audience.

Lifestyle Analytics

Lifestyle Analytics evaluates a candidate's lifestyle by analyzing fan page preferences, group memberships, likes, conversations, and friendships. Each data point is mapped to appropriate scoring and clustering, revealing patterns and tendencies.

Generative AI Backend

Knowledge Embedding Model

Knowledge Embedding Model transforms text into vector representations, enabling more efficient data retrieval based on user-defined contexts.

Generative AI Model

Generative AI Model utilizes a fine-tuned Large Language Model (LLM) specifically crafted to understand the Indonesian language and local context.

Backend Multi Single-AI-Agents

Backend Multi-Single-AI-Agents features a network of specialized AI agents, each assigned distinct tasks to efficiently address user inquiries. For instance, when a user asks a question, dedicated agents work collaboratively to retrieve, clean, embed, and summarize data, creating additional knowledge context for accurate and relevant responses.

Generative AI Interface

Messenger Platform Integration

Messenger Platform Integration allows seamless integration with messaging apps, making it easier for users to interact with the system

Web Interface

Web Interface provides users with seamless access to the HR Analytics system, enabling easy interaction with dashboards and AI functionalities.

Intent Classifier Agents

Intent Classifier Agents enable users to interact with the internal knowledge of the Large Language Model (LLM), allowing for context-specific engagements.