with cyril

Problem

Homeowners want to switch to solar but feel blocked by technical complexity, unclear ROI, and fragmented guidance.

Goal

Make solar adoption simple through personalized, actionable intelligence for non-technical users.

Solution

AI-powered assistant that converts basic home and usage input into clear recommendations: system size, cost, savings, and timeline.

My Approach

User journey mapping and progressive disclosure to reduce decision fatigue while keeping trust and clarity high.

Key Features

• Adaptive smart intake form
• AI-personalized savings report
• Cost vs savings interactive dashboard
• Location-aware solar potential analysis
• Step-by-step onboarding

Problem

Task tools demand manual planning and fail when priorities change, causing overload and constant rescheduling.

Goal

Remove planning burden by automating time allocation and re-planning in real time.

Solution

AI scheduling engine that builds and continuously optimizes day and week plans from task priorities and constraints.

My Approach

Designed around adaptive re-planning and transparent AI reasoning so users can trust and override without friction.

Key Features

• AI-generated daily and weekly plan
• Priority time-block allocation
• Conflict detection and auto-rescheduling
• Energy-aware task placement
• Weekly productivity insights

Problem

Online learning is content-rich but path-poor, causing scattered efforts, weak progress visibility, and low completion.

Goal

Unify learning path, scheduling, and measurable progress in one personalized system.

Solution

AI roadmaps with curated resources, integrated daily planning, and adaptive progression based on actual learner performance.

My Approach

Habit design mindset: small wins, visible streaks, and meaningful milestones to sustain long-term motivation.

Key Features

• Personalized roadmap generation
• Curated multi-format resources
• Calendar-linked study scheduling
• Milestones and streak tracker
• Adaptive path via quiz and pace data

Problem

Users face product overload, conflicting advice, and low confidence about ingredients and routines.

Goal

Create a personalized skincare identity that recommends what works and explains why.

Solution

AI skin assessment that builds custom routines, explains ingredients, and adapts recommendations over time.

My Approach

Conversation-like onboarding with progressive profiling to balance speed, trust, and personalization depth.

Key Features

• AI skin-type and concern analysis
• AM/PM routine builder
• Ingredient transparency layer
• Budget-aware recommendations
• Progress journal and community insights

Problem

Wearables track biometrics but rarely translate them into meaningful emotional and mental wellbeing guidance.

Goal

Turn raw physiological data into calm, actionable emotional awareness.

Solution

Wristband and companion app that maps HRV and related signals into stress, focus, fatigue, and mood insights.

My Approach

Awareness without anxiety: constructive nudges, gentle interventions, and pattern intelligence over alarm-based design.

Key Features

• Real-time emotional state detection
• HRV-based mapping and wellness score
• Trigger pattern recognition
• Micro-interventions and sleep links
• Weekly emotional health report

Problem

Citizen reporting and authority response loops are fragmented, slow, and non-transparent.

Goal

Connect residents and civic authorities through accountable, real-time issue management.

Solution

Hyperlocal reporting platform with geotagged complaints, ward routing, status tracking, and community prioritization.

My Approach

Designed two focused surfaces: frictionless citizen reporting and structured authority workload operations.

Key Features

• Photo-first 30-second reporting flow
• Live issue map and status pipeline
• Community upvotes for urgency
• Ward dashboard and analytics
• Resolution notifications and city scorecards

Problem

In-routine skincare questions are high-frequency and time-sensitive, but search-first workflows break user flow.

Goal

Enable hands-free, profile-aware skincare guidance in natural language.

Solution

Voice interface embedded in AURA that answers contextually using each user profile and routine history.

Key Features

• Voice-first personalized Q and A
• Ingredient compatibility checks
• Guided routine mode
• Product comparison by skin profile

Problem

Users lose time switching apps for information; many assistants remain command-based and context-fragile.

Goal

Create natural, context-aware, multi-turn voice assistance for learning and task support.

Solution

Arivu interprets spoken intent, tracks context across turns, and responds with fast conversational guidance.

My Approach

Prioritized naturalness, latency, and clarity with a minimal voice-first interface and robust session memory.

Key Features

• Real-time speech-to-text input
• Intent and context memory
• Multi-turn conversational support
• Text fallback mode
• Session history and search