Abhijeet Bansode

Student

Campus Ambassador · Jyesta Corporate EntityVishwakarma Institute of TechnologyPunefull_time, internshipOpen to roles

6 projects6 challenge entries4 reviewed

CommunicationGITProject ManagementProblem Solving

Challenge entry · AI-Powered HR Operations & Employee Experience Challenge by Wooble

HRGenie AI Enterprise – AI-Powered HR Operations & Employee Experience Platform

Thank you for reviewing **HRGenie AI Enterprise – AI-Powered HR Operations & Employee Experience Platform**. HRGenie AI Enterprise is a production-inspired, AI-powered Human Resource Management System designed to solve real-world HR challenges using **Google Gemini AI**, **Firebase Authentication**, and **Cloud Firestore**. The project focuses on automating HR operations while improving the overall employee experience through intelligent workflows and real-time collaboration. ## Project Links **GitHub Repository** https://github.com/abhijeet-1203/hr-genie-ai **Live Demo** https://hrgenie-ai.ai.studio **Demo Video / Walkthrough** https://drive.google.com/file/d/1E7bjJWzDaunPERDkUB6bYOjAxi8RwfIe/view?usp=sharing --- ## Project Overview The platform is built as an enterprise-grade HR solution rather than a traditional CRUD application. It combines AI-powered automation, role-based access control, real-time data synchronization, and workforce analytics to streamline HR operations. The system supports four primary roles: * Administrator * HR Manager * Team Manager * Employee Each role has dedicated dashboards, permissions, workflows, and AI-assisted capabilities. --- ## Key Features ### Authentication & Security * Firebase Authentication * Secure Sign In & Registration * Role-Based Access Control (RBAC) * Protected Routes * Session Management * Firestore Security * Audit Logging ### AI-Powered HR Assistant * Google Gemini AI integration * Company policy assistance * HR query resolution * Leave guidance * AI-generated responses * Context-aware conversations ### Employee Management * Employee Directory * Department Management * Employee Profiles * Status Management * Role Assignment ### Attendance Management * Real-time Check-In / Check-Out * Working Hours Calculation * Attendance History * Attendance Reports ### Leave Management * Leave Requests * Leave Approval Workflow * Leave Tracking * Leave Balance Management * Manager Approval Process ### AI Performance Review * AI-generated performance summaries * Promotion readiness insights * Learning recommendations * Strength and improvement analysis ### Employee Sentiment Analysis * AI analysis of employee feedback * Burnout detection * Engagement monitoring * Workplace wellness insights ### AI Resume Parser * Resume upload * Candidate information extraction * Skills detection * Experience extraction ### Onboarding System * Employee onboarding checklist * New hire progress tracking * Mentor assignment * Documentation workflow ### Company Knowledge Base * Policy repository * Searchable documentation * Company handbook * HR resources ### Announcements * Company-wide announcements * Priority updates * Employee notifications ### Analytics Dashboard * Workforce analytics * Department statistics * Attendance insights * Performance visualization * HR metrics --- ## Technical Stack Frontend * React * TypeScript * Tailwind CSS * Framer Motion * Vite Backend * Express.js * TypeScript Database * Firebase Cloud Firestore * SQLite (local fallback) Authentication * Firebase Authentication Artificial Intelligence * Google Gemini AI * @google/genai SDK --- ## Testing Information The application is designed to initialize with sample organizational data for demonstration purposes. After initialization, all operations are performed using real Firestore database operations rather than hardcoded frontend data. The seeded data includes: * Administrator account * HR Managers * Team Managers * Employees * Departments * Leave requests * Attendance records * Company announcements * Policies * Performance reviews * Tasks --- ## Design Decisions The project was intentionally designed to resemble an enterprise SaaS HR platform rather than a college project. The primary goals were: * Clean and modern user experience * AI-first workflow automation * Real-time database synchronization * Role-specific dashboards * Scalable architecture * Responsive design for desktop and mobile * Modular component architecture * Production-inspired code organization --- ## Future Enhancements Planned enterprise features include: * AI HR Copilot with action execution * Predictive workforce analytics * Employee attrition prediction * Voice-enabled AI assistant * AI-powered document understanding * Multi-tenant organization support * Calendar integrations * Enterprise reporting * Docker deployment * Advanced notification engine --- Thank you for taking the time to review this project. I hope you enjoy exploring HRGenie AI Enterprise and appreciate your feedback.

Reviewed

5 media files · hrgenie-ai.ai.studioView

Challenge entry · MSME Idea Hackathon 6.0 | Frontier Technology Innovation Challenge by Ministry of MSME

PulsePoint – An AI-Powered Intelligent Healthcare Management Platform.

# Reviewer Notes Thank you for reviewing **PulsePoint – An AI-Powered Intelligent Healthcare Management Platform**. ## 🌐 Project Links * **Live Application:** https://ambula-26-868031912005.us-west1.run.app * **GitHub Repository:** https://github.com/abhijeet-1203/PulsePoint_AI * **Demo Video:** https://drive.google.com/file/d/1O3mN0qBayj7JT6CsDdvEsGFdNK-iUP41/view?usp=drive_link --- ## 🚀 Project Overview PulsePoint is a full-stack AI-powered healthcare platform designed to simplify healthcare management for both patients and healthcare professionals by combining modern web technologies, Artificial Intelligence, and intelligent healthcare workflows. The platform goes beyond traditional appointment booking by integrating AI-assisted clinical support, predictive healthcare analytics, digital health management, medication adherence tracking, and intelligent scheduling into a unified, responsive healthcare ecosystem. --- ## ✨ Implemented Features ### 👨‍⚕️ Patient Module * Secure authentication * Personal health profile * AI-powered symptom triage * Intelligent doctor recommendation * Doctor search by specialization * Doctor profile with consultation details * Appointment booking * Appointment history * Booking confirmation * Digital health summary * Disease risk assessment * Medicine reminders * Medication adherence tracking * Interactive health analytics * Mobile-responsive interface --- ### 🩺 Doctor Module * Secure doctor login * Doctor dashboard * Daily appointment management * Patient health summary * Consultation management * AI-assisted consultation drafts * Digital prescription generation * Recovery timeline prediction * Follow-up recommendations * Appointment management --- ### 🤖 Artificial Intelligence Features * Intelligent Symptom Triage * Emergency Symptom Detection * Smart Doctor Recommendation * AI Clinical Decision Support * Consultation Summary Generation * Recovery Timeline Prediction * Medical Guidance Generation AI capabilities are powered using **Google Gemini**. --- ### 📊 Machine Learning & Smart Healthcare Features * Disease Risk Prediction * Intelligent Appointment Recommendation * Medication Adherence Analysis * Personalized Health Insights * Interactive Risk Visualization * Radar Chart Analytics * Smart Healthcare Recommendations --- ## 📱 User Experience * Fully responsive (mobile-first) * Modern healthcare UI * Interactive dashboards * Responsive charts * Clean navigation * Fast page rendering * Accessible layouts --- ## ☁️ Cloud Services * Firebase Authentication * Firebase Firestore * Google Gemini API * Cloud-based data synchronization * Secure protected routes --- ## ⚙️ Technology Stack **Frontend** * React * TypeScript * Vite * Tailwind CSS **Backend** * Node.js * Express.js **Database** * Firebase Firestore **Authentication** * Firebase Authentication **Artificial Intelligence** * Google Gemini API --- ## 📂 Repository The GitHub repository includes: * Complete source code * Setup instructions * Installation guide * Environment configuration * Folder structure * Architecture documentation * Feature documentation * Deployment instructions --- ## 🔧 Setup 1. Clone the repository. 2. Install frontend and backend dependencies. 3. Configure Firebase credentials. 4. Add your own Google Gemini API key in the `.env` file. 5. Run the development server. The repository README contains detailed setup instructions. --- ## 🔑 Environment Variables The repository **does not include secret keys**. Please configure: * Firebase credentials * Google Gemini API Key using your own `.env` file before running the project locally. --- ## 🧪 Test Credentials If authentication is required, please use the credentials provided below. **Patient** * Email: <PATIENT_EMAIL> * Password: <PATIENT_PASSWORD> **Doctor** * Email: <DOCTOR_EMAIL> * Password: <DOCTOR_PASSWORD> *(If Firebase Authentication allows new registrations, reviewers may also create their own accounts to explore the platform.)* --- ## 🏗️ Design Decisions The project was designed around four primary goals: * Deliver a seamless healthcare experience for patients. * Reduce administrative workload for healthcare professionals. * Integrate Artificial Intelligence meaningfully into healthcare workflows rather than using AI only as a demonstration. * Build a scalable, modular architecture suitable for future healthcare expansion. The codebase follows a clean and modular structure to improve maintainability, scalability, and future feature integration. --- ## 📖 Documentation The GitHub README contains comprehensive documentation covering: * Project Overview * Problem Statement * Vision and Objectives * Complete Feature List * AI & Machine Learning Modules * System Architecture * Technology Stack * Project Structure * Installation Guide * Environment Configuration * Deployment Guide * Database Design * Application Workflows * AI Processing Pipeline * Future Roadmap * License * Acknowledgements --- ## 🎯 Project Summary PulsePoint demonstrates how Artificial Intelligence, Machine Learning, cloud computing, and modern web technologies can work together to create a smarter, more connected, and patient-centric healthcare ecosystem. The platform combines intelligent symptom triage, smart doctor discovery, appointment management, AI-assisted clinical decision support, predictive health analytics, digital prescriptions, medicine reminders, and centralized health records into a single scalable solution. It has been designed with a modular, cloud-native, and mobile-first architecture, making it suitable for future integration with telemedicine, wearable devices, Electronic Health Records (EHR), and advanced predictive healthcare systems. Thank you for taking the time to review PulsePoint. I hope you enjoy exploring the project, and I appreciate your valuable feedback and suggestions.

5 media files · ambula-26-868031912005.us-west1.run.appView

Challenge entry · Build for Ambula '26 by AMBULA

PulsePoint AI - An AI-Powered Intelligent Healthcare Management Platform

# Reviewer Notes Thank you for reviewing **PulsePoint AI – An AI-Powered Intelligent Healthcare Management Platform**. ## 🌐 Project Links * **Live Application:** https://ambula-26-868031912005.us-west1.run.app * **GitHub Repository:** https://github.com/abhijeet-1203/PulsePoint_AI * **Demo Video:** https://drive.google.com/file/d/1O3mN0qBayj7JT6CsDdvEsGFdNK-iUP41/view?usp=sharing --- ## 🚀 Project Overview PulsePoint is a full-stack AI-powered healthcare platform developed for the **Build for Ambula '26** challenge. The platform is designed to simplify healthcare management for both patients and doctors by combining modern web technologies with Artificial Intelligence and intelligent healthcare workflows. The application goes beyond basic appointment booking by integrating AI-assisted clinical support, predictive healthcare analytics, medication management, and intelligent scheduling into a single responsive platform. --- ## ✨ Implemented Features ### 👨‍⚕️ Patient Module * Secure authentication * Personal health profile * AI-powered symptom triage * Intelligent doctor recommendation * Doctor search by specialization * Doctor profile with consultation details * Appointment booking * Appointment history * Booking confirmation * Digital health summary * Disease risk assessment * Medicine reminders * Medication adherence tracking * Interactive health analytics * Mobile-responsive interface --- ### 🩺 Doctor Module * Secure doctor login * Doctor dashboard * Daily appointment management * Patient health summary * Consultation management * AI-assisted consultation drafts * Digital prescription generation * Recovery timeline prediction * Follow-up recommendations * Appointment management --- ### 🤖 Artificial Intelligence Features * Intelligent Symptom Triage * Emergency Symptom Detection * Smart Doctor Recommendation * AI Clinical Decision Support * Consultation Summary Generation * Recovery Timeline Prediction * Medical Guidance Generation AI capabilities are powered using **Google Gemini**. --- ### 📊 Machine Learning & Smart Healthcare Features * Disease Risk Prediction * Intelligent Appointment Recommendation * Medication Adherence Analysis * Personalized Health Insights * Interactive Risk Visualization * Radar Chart Analytics * Smart Healthcare Recommendations --- ## 📱 User Experience * Fully responsive (mobile-first) * Modern healthcare UI * Interactive dashboards * Responsive charts * Clean navigation * Fast page rendering * Accessible layouts --- ## ☁️ Cloud Services * Firebase Authentication * Firestore Database * Google Gemini API * Cloud-based data synchronization * Secure protected routes --- ## ⚙️ Technology Stack **Frontend** * React * TypeScript * Vite * Tailwind CSS **Backend** * Node.js * Express.js **Database** * Firebase Firestore **Authentication** * Firebase Authentication **Artificial Intelligence** * Google Gemini API --- ## 📂 Repository The GitHub repository includes: * Complete source code * Setup instructions * Installation guide * Environment configuration * Folder structure * Architecture documentation * Feature documentation * Deployment instructions --- ## 🔧 Setup 1. Clone the repository. 2. Install frontend and backend dependencies. 3. Configure Firebase credentials. 4. Add your own Google Gemini API key in the `.env` file. 5. Run the development server. The repository README contains detailed setup instructions. --- ## 🔑 Environment Variables The repository **does not include secret keys**. Please configure: * Firebase credentials * Google Gemini API Key using your own `.env` file before running the project locally. --- ## 🧪 Test Credentials If authentication is required, please use the credentials provided below. **Patient** * Email: <PATIENT_EMAIL> * Password: <PATIENT_PASSWORD> **Doctor** * Email: <DOCTOR_EMAIL> * Password: <DOCTOR_PASSWORD> *(If using Firebase Authentication with new registrations enabled, reviewers may also create their own accounts.)* --- ## 🏗️ Design Decisions The project was designed around four primary goals: * Deliver a smooth healthcare experience for patients. * Reduce administrative workload for healthcare professionals. * Integrate AI meaningfully into healthcare workflows instead of using AI only for demonstration purposes. * Build a scalable architecture suitable for future healthcare expansion. The codebase follows a modular structure to improve maintainability and scalability. --- ## 📖 Documentation The GitHub README contains comprehensive documentation covering: * Project overview * Problem statement * Vision and objectives * Complete feature list * AI & Machine Learning modules * System architecture * Technology stack * Project structure * Installation guide * Environment setup * Deployment * Database design * Application workflows * AI processing pipeline * Future roadmap * License * Acknowledgements --- ## 🎯 Build for Ambula '26 PulsePoint was developed as a submission for the **Build for Ambula '26** hiring challenge and demonstrates how Artificial Intelligence can enhance healthcare through intelligent automation, predictive analytics, secure cloud infrastructure, and a modern user experience. Thank you for taking the time to review the project. I hope you enjoy exploring PulsePoint.

5 media files · ambula-26-868031912005.us-west1.run.appView

Challenge entry · MemoryVerse AI '26 by Wooble

MemoryVerse AI: AI-Powered Digital Identity & Academic Memory Graph

Thank you for taking the time to review MemoryVerse AI. MemoryVerse AI is an AI-powered Digital Identity System that transforms scattered academic and professional documents into a structured, searchable, and intelligent knowledge repository. Instead of functioning as a traditional document storage platform, the system understands the relationships between uploaded documents and reconstructs a user's academic journey through AI-powered extraction, relationship mapping, timeline generation, and semantic retrieval. What to Review Login Credentials The live demo web takes little bit load. Also go through the live demo video (drive link) attached below. To explore the application, please use the following demo credentials: Username: abhi or sahil Password: hunter2demo After logging in, you can review the complete workflow of the application. 1. AI Document Ingestion Upload documents such as certificates, resumes, internship letters, project reports, PDFs, DOCX, PPT/PPTX files, images, or portfolio links. The ingestion workflow automatically parses the uploaded content and extracts meaningful information. 2. Intelligent Information Extraction The AI identifies and structures information including: Skills Projects Certifications Internships Education Organizations Achievements Technologies Roles Important dates This converts unstructured documents into structured knowledge. 3. Automatic Categorization The extracted information is automatically organized into dedicated categories without requiring manual sorting, making document management significantly easier. 4. Relationship Engine One of the key innovations of MemoryVerse AI is its relationship engine, which builds meaningful connections between extracted entities, for example: Certification → Skill Skill → Project Project → Internship Internship → Organization These relationships collectively form an intelligent knowledge graph representing the user's academic and professional journey. 5. Digital Journey Timeline Whenever new documents are uploaded, the system automatically regenerates a chronological timeline showing the user's academic growth, certifications, internships, projects, and achievements over time. 6. Semantic Search Instead of searching by filenames or folders, users can ask natural language questions such as: Show all my certificates Show AI projects Show internship documents Find projects using Python Show my achievements What certifications do I have? The system retrieves the most relevant structured information along with the original uploaded documents. Technical Highlights The project has been developed using the Lemma ecosystem and includes: Lemma AI Agents Lemma Workflows Lemma Tables Serverless Functions AI-based document parsing Entity extraction Knowledge graph generation Timeline generation Semantic retrieval Conversational AI Project Objective The objective of MemoryVerse AI is to move beyond traditional document storage and create an intelligent digital identity that understands how a student's skills, projects, certifications, internships, and achievements are connected throughout their academic journey. Rather than simply storing files, the platform builds a continuously evolving academic memory system capable of contextual understanding and natural language interaction. Demo Video Please refer to the demo video for a complete walkthrough of the project, including: User authentication Document upload workflow AI-powered information extraction Automatic categorization Relationship generation Timeline creation Semantic search Knowledge retrieval Overall application workflow Demo Video Link: https://drive.google.com/file/d/1eQP1WeZpHFeBOUAzJipiNI4_sa_gegDu/view?usp=sharing Source Code GitHub Repository: https://github.com/abhijeet-1203/MemoryVerse-AI Thank you once again for reviewing MemoryVerse AI. I appreciate your time and feedback, and I hope the project demonstrates how AI can transform scattered academic documents into an intelligent, connected, and searchable digital identity.

Reviewed

5 media files · lemma.workView

Challenge entry · EXPIRY ALERT ' 26 by Wooble

Expiry Alert AI – Enterprise Document Expiry & Compliance Management Platform

Thank you for reviewing Expiry Alert AI. Expiry Alert AI is an AI-powered Enterprise Document Expiry & Compliance Management Platform designed to help organizations proactively manage business-critical records such as vendor contracts, compliance certificates, government licenses, insurance policies, machine inspection reports, and safety training records. Unlike traditional expiry trackers, this platform combines Artificial Intelligence, OCR, predictive analytics, interactive dashboards, and compliance intelligence to provide proactive decision support instead of simple date reminders. Key Features: • AI Executive Summary • AI Compliance Assistant • OCR-based document field extraction • Intelligent document lifecycle management • Compliance Health Score • Organization Health Index • Smart Expiry Classification • Risk Analysis & Business Impact • Forecast Dashboard • Interactive Analytics • Calendar & Timeline View • Advanced Search & Filtering • Audit Logs • Bulk CSV Import • PDF/CSV Report Generation • Archive, Restore & Renewal Workflow • Responsive Enterprise UI ### Project Demonstration Video A complete walkthrough of the application covering all major features, AI capabilities, workflows, and business use cases is available here: **🎥 Demo Video Drive Link:** https://drive.google.com/file/d/1dqIJNI0ksxXCkfcCfN_yavz82ToW_XN8/view?usp=sharing Demo Credentials Admin Email: ssbansode022@gmail.com Password: demo-pass Recommended Review Flow 1. Login 2. Explore the Executive Dashboard 3. Open Records and upload/create a document 4. Test OCR extraction 5. Ask questions using the AI Assistant 6. Review Forecast & Analytics 7. Generate a report 8. Check Activity Logs 9. Explore Calendar & Timeline 10. Review Settings The application is fully responsive and demonstrates an enterprise-scale approach to compliance and document lifecycle management rather than a basic CRUD application. Thank you for your time and feedback.

Reviewed

5 media files · ai.studioView

Challenge entry · Queue Cure '26 by Wooble

QueueCure AI: Real-Time Smart Clinic Queue & Patient Experience Management System

Reduced patient uncertainty with real-time queue tracking, AI-powered wait prediction, emergency prioritization, and live clinic communication.

Reviewed

real-time-queue--bansodesomnath0.replit.appView

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