Aliya Ali@AliyaAli

Emma is a trusted mental health support companion: using AI-powered expertise and evidence-based techniques like CBT and DBT to tailor therapy sessions to users’ specific contexts and personality preferences. It helps you find the best version of yourself - address anxiety, depression, and stress with compassion and expertise. Start your journey of self-discovery and empowerment today with Emma. Select the issues you're primarily facing, and use personality sliders to design the attributes of your ideal therapist - whether it's someone more reassuring or more solutionist, whether your therapy should be more focused on your holistic wellbeing or resolving a targeted issue, whether they bring a more lighthearted or serious approach. From conversations over time, Emma learns about your thought patterns, cognitive distortions, and unhealthy behavior patterns and surfaces them to you in weekly and biweekly check-ins, helping you with better-informed self reflection. Some upcoming features include the ability to use realtime camera input so Emma can understand your environmental context and facial expressions, getting a clearer understanding of your lived experience. Emma can generate tailored support plans to improve your mental health, and in future versions also generate custom meditations that fit your needs and situations, providing in-the-moment support whenever you need it.

Design a health insurance recommendation system that analyzes users' healthcare usage history to suggest the best plans. By evaluating past medical expenses, treatment patterns, and coverage needs, the system provides personalized suggestions that optimize cost and benefits. Using data analytics and machine learning, it identifies trends in healthcare utilization and predicts future needs, ensuring tailored recommendations. The system compares available insurance plans, highlighting those that offer the most value based on the user’s specific requirements, such as premium affordability, coverage limits, and network preferences, enabling informed decisions for better healthcare management.

Lingograde is an advanced AI-powered speech analysis tool designed to revolutionize language learning for users of all skill levels. Built on the innovative Gemma 2 AI model, this app listens to your spoken language, evaluates your pronunciation, grammar, fluency, and vocabulary, and provides personalized feedback to help you master any language faster. With real-time grading, intuitive star graphs, and CEFR and IELTS certification scaling, Lingograde offers a holistic approach to language improvement. Whether preparing for tests, enhancing professional communication, or achieving native-level fluency, Lingograde empowers users with actionable insights and confidence to speak seamlessly.

Based on WHO statistics, About 830 million people worldwide have diabetes. For them Having a healthy diet is extremely important to control their blood sugar. That’s why many health care providers recommend them to see a dietitian to help them develop a healthy-eating plan. And that’s why oftentimes, deciding on what to eat and not to eat and planning meals can be challenging for them. But what if they can manage all of this on a chatbot on their fingertips?Our solution, DiaCura analyses all your health data, and replies to your requests as you wish. Whether you want a daily or weekly meal plan, recipes, grocery shopping list, or you're wondering if you can safely eat the cookie that you’re craving for, DiaCura has the answers. How? We gather all the relevant health data from the user. Using llama through AI/ML API combined with accurate datasets of diabetes-friendly foods, our chatbot delivers scientifically-backed recommendations with clear explanations for every suggestion. Users can chat DiaCura on telegram or in the future on whatsapp or our own website.

Our idea addresses energy inefficiencies in government entities by leveraging advanced technologies to reduce waste and promote sustainability. Using the GROK model integrated with a Retrieval-Augmented Generation (RAG) system and FAISS vector database, we analyze large datasets to identify energy waste areas quickly and effectively. The system provides actionable strategies to optimize energy consumption, such as upgrading equipment, adopting renewable energy, and reducing resource underutilization. A user-friendly interface built with Streamlit enables seamless interaction, allowing government departments to make data-driven decisions. This solution not only reduces energy costs by at least 25% but also ensures better resource allocation and significant environmental benefits.

Connectivity without Sustainable Energy Access is usually Dead on Arrival. Our idea is based on using AI Agents to help solar energy consumers in underserved areas learn and track CO2 offsets to earn connectivity credits that can be redeemed in form of SMS, Voice & Data microbundles. The ICARUS AI Bot is designed to abstract away from the complexities of photovoltaic based carbon offsetting models and carbon credits based on GHG emissions avoided by using solar energy. The AI helps users to redeem connectivity on demand in form of Data & SMS or voice on a gamified platform, while incentivizing sustainable living and digital inclusion in off-grid communities and disrupting the $1.5Trillion Carbon markets at the same time. This model is tailored to augment the rising adoption of abundant solar energy in southern Africa which has been hit with a 1200MW drought induced Hydropower deficit.