Selected Work.
A curated showcase of our most advanced digital solutions, AI models, and enterprise platforms.
Academic Student Stress Classification
Academic stress is a significant challenge that can severely impact student well-being and educational performance if left unmonitored. Educational institutions often lack data-driven tools to proactively identify students experiencing high stress levels. Without a standardized, automated way to analyze relevant behavioral and psychological data, early intervention is incredibly difficult.
High-Accuracy ML Modeling
Comprehensive Data Preprocessing
Skillup E-Learning Platform
Modern educational platforms increasingly rely on artificial intelligence to assist students, but this often requires sending sensitive user interactions to external cloud APIs. This reliance raises significant data privacy concerns, introduces potential latency, and creates a dependency on third-party services that can incur high ongoing costs. Furthermore, many e-learning environments lack secure, role-based access controls and struggle to provide responsive, bilingual support for a diverse student base without complex third-party integrations.
Privacy-First Local AI
Secure Backend Architecture
Smart Vision System
Small and medium-sized businesses typically rely on traditional surveillance systems that are entirely passive. These systems merely record video, offering no real-time analysis of customer movement, no accurate visitor counting, and no proactive threat detection, leaving owners blind to actionable insights.
Advanced AI Processing Layer
Persistent Multi-Object Tracking
Tennis Match Analyzer
Professional-level sports analytics typically require expensive, proprietary multi-camera setups and physical court sensors. For amateur players, coaches, and local clubs, extracting actionable performance data—like ball trajectories, player positioning, and stroke statistics—from standard video footage is an incredibly manual and error-prone process. There is a strong need for a software-only solution that can democratize sports analytics by turning ordinary video footage into deep tactical insights without requiring specialized hardware.
Real-Time Computer Vision
Advanced Spatial Analysis
AI-Driven Applicant Tracking System
In high-volume recruitment, screening candidates—especially assessing soft skills and language proficiency—is a heavily manual, time-consuming, and highly subjective process. Recruitment teams often struggle with bottlenecks when manually reviewing audio or video submissions, leading to delayed communication with applicants and a fragmented hiring pipeline. There is a critical need for a system that can automate the initial heavy lifting of candidate evaluation while still keeping human recruiters in control of the final hiring decisions.
Multimodal AI Integration
Robust Backend Architecture
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