Sarah Khan@SarahKhan

Talent Scout AI is an intelligent resume screening and job-matching platform built using Google Gemini. It enables HR teams to upload resumes, portfolios, and candidate information, which the system automatically analyzes to extract skills, experience, and relevant qualifications. Each applicant is evaluated against job-specific criteria configured by the HR team, generating objective scoring, rankings, and insights. The platform includes a dedicated HR dashboard, job configuration module, dark/light mode UI, and secure authentication to ensure only authorized recruiters manage job posts and view results. By automating early-stage candidate screening, Talent Scout AI significantly reduces manual workload and supports faster, data-driven, and unbiased hiring decisions.

Ask iBake is an AI-powered chatbot created to help baking lovers of all levels. Baking often feels tricky—exact measurements, ingredient substitutions, and fixing mistakes can overwhelm even experienced bakers. Ask iBake solves this by acting as a personal baking assistant that gives instant, accurate, and easy-to-follow guidance. Users can chat naturally with Ask iBake to get answers about recipes, techniques, and troubleshooting. For example, it can suggest the right oven temperature for a cake, guide how to whip cream properly, explain why cookies spread too much, or offer egg-free substitutions. Technically, Ask iBake uses a modern stack with AI integration for conversational responses, a backend to process queries, and a clean, simple frontend for smooth interaction. It works across devices, making it handy right in the kitchen. What makes Ask iBake unique is its specialization. Unlike general cooking apps, it focuses only on baking—cakes, cookies, bread, pastries, frostings, and more. It also teaches techniques like tempering chocolate, crumb coating, and layering. In the future, Ask iBake can expand with voice assistance, personalized recipe suggestions, video tutorials, and even a community hub for bakers. Ask iBake is more than just a chatbot—it’s like having a baking partner by your side, turning kitchen stress into kitchen fun.

The Open-Source Multi-Modal Medical AI Assistant is a privacy-first digital health platform that leverages state-of-the-art technologies such as the Groq API, LLaMA-based large language models, Whisper speech-to-text, and computer vision models like EfficientNet and ResNet. It allows users to interact through text, voice, or images to receive preliminary medical information, triage guidance, and skin condition screening. Trained on medical datasets the assistant is designed to be accessible, accurate, and transparent—empowering individuals with reliable health insights while maintaining strict privacy standards. This project aims to bridge gaps in healthcare access, especially in underserved communities.

Our project is an AI-driven mini learning path tool designed to guide users through a personalized educational journey. By allowing users to input a topic of interest, the tool generates a structured, step-by-step learning plan tailored to their goals, current knowledge level, and pace. It curates the most relevant resources—videos, articles, courses—and organizes them into a coherent path, ensuring that users stay on track and make consistent progress. Whether you're a beginner diving into a new subject or someone looking to deepen your expertise, our platform adapts to your learning style and helps you grow efficiently and confidently.

Network Optimizer is an AI-powered solution designed to enhance digital connectivity by optimizing network resources in real-time. It addresses common challenges in network utilization, such as weak signal areas, underutilized infrastructure, and weather-related disruptions. Using AI and real-time data analysis, the system identifies connectivity gaps, predicts potential signal issues, and provides actionable recommendations for telecom providers and policymakers. The interactive dashboard, built with Streamlit, offers visual insights on network performance, helping stakeholders improve service reliability and optimize infrastructure investments. Future enhancements include predictive ML models, AI-driven user support, and 5G network optimization, making Network Optimizer a cutting-edge tool for digital connectivity.

The Space Information AI Assistant addresses the challenge of fragmented and inaccessible space data by providing a centralized, AI-driven platform. This innovative solution fetches and organizes data from reliable sources such as NASA APIs, space news outlets, and astronomy image libraries. The platform simplifies complex datasets, making them easy to understand and actionable for researchers, educators, and the public. Users can engage in interactive space-related conversations, stay updated with real-time space news, explore upcoming events, and even track the International Space Station. By harnessing the power of AI, the assistant ensures efficient data retrieval and personalized insights, fostering a deeper understanding and appreciation of space science.

The project is designed to streamline the user form-filling process by leveraging database integration and automated validation. Users enter a unique ID, which triggers the system to fetch their relevant data from the database. The system identifies and highlights missing fields, incorrect formats, or any inconsistencies in the entered data. Upon submission, it automatically corrects errors by fetching accurate information from the database, ensuring data integrity and completeness. This process minimizes manual input, reduces errors, and improves efficiency. The project simplifies form handling, delivering a user-friendly and reliable solution for data validation and accuracy during form submission.

AI BlogCurate is a Falcon LLM, LangChain and StreamLit based AI app for doing Top AI and Data Science Articles Search, Shortlisting, Analysis and Aspect based Rankings for given Topic. It's goal is to help Data Science and Artificial Intelligence students, enthusiasts and professionals in learning, acquiring skills learning and staying up-to-date through the best articles. AI BlogCurate searches for blogs/articles on the given topic from popular Data Science and AI articles websites including Medium/TowardsData Science, AnalyticsVidhya and KDNuggets. The articles are first short-listed by title relevance using Falcon-2 180B LLM using AI71 API. Then article content is scrapped and analyzed thoroughly through LLM. The scores of articles related to different aspects are computed and an overall rank is estimated. The Top 5 ranked articles urls and article information are displayed along with the scores for different aspects. Following are the Features of BlogCurate - Article Search, information extraction and analysis, from multiple sources. - Initial Shortlisting by Estimating article title relevance to topic. - Ranking and showing Top 5 Articles according to Overall Score. - Title, URL and Publish Date display. - Article Keywords extraction and display. - Publish Date Extraction - Score for Article Content Quality. - Score for Article Content Structure and Organization. - Score for Article Content Relevance. - Score for Article Practical Implementation Demonstration. - Score for Article Publish Date Recency. - Overall Article Score considering all aspects.

🌟 Explore new AI capabilities 🤝 Collaborate and build something extraordinary. 👥 Take part alone or form a team with other participants. 🎓 Receive guidance from expert mentors. 🏆 Compete for $20,000 in Prizes. 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!

🕒You have 2 days to complete the challenge. Compete for exciting prizes and exclusive opportunities. It's an amazing opportunity to: 🚀 Compete to craft an app supercharged by IBM’s advanced AI models. 💰 Receive the necessary resources to kick off your app development. 🌟 Expert mentors will guide you every step of the way. 🤝 Work alone or form a team to build something extraordinary. 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!

⌚ Take on a 48-hour challenge packed with creativity. 🚀 Build an app powered by Llama 3.2’s capabilities. 🎓 Get advice and support from industry experts along every step of the way. 🏆 Win an opportunity to participate in the Lablab NEXT acceleration program 💰 Stand a chance to win $5,000 in prizes. 🌟 Win the opportunity to be invited, with transport and accommodation covered, to our upcoming Giga Hackathons in Barcelona or Geneva in partnership with UNICEF. 🧑🏻‍💻 Sign up before the Kick-Off Stream to lock in your spot!