https://projexa.ai/ 2024-01-01 daily 1.0 https://projexa.ai/authenticate 2024-01-01 monthly 0.8 https://projexa.ai/idea-submission 2024-01-01 monthly 0.9 https://projexa.ai/showcase 2024-01-01 weekly 0.9 https://projexa.ai/showcase/26E4097 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/3e1c89ee34d04c688d2651dd9aff1c58/656e996334ed4a029631e6be2d7783da.mov AI-Based Early Detection of Depression and Anxiety Using Natural Language Analysis Mental health disorders such as depression and anxiety often develop gradually and remain undetected until they reach a severe stage. Many individuals avoid visiting mental health professionals due to stigma, lack of awareness, or limited access to clinical services. Traditional psychological assessments like Beck Depression Inventory (BDI) and HAM-A require trained professionals and face-to-face interaction, which is not always feasible. There is currently no easily accessible system that can continuously screen individuals for mental health risks using their natural communication, such as spoken or written language. Since a person’s language reflects emotional and cognitive states, analyzing it using Artificial Intelligence can enable early identification of psychological distress. This project aims to bridge this gap by using AI to detect early signs of depression and anxiety through natural language analysis. https://projexa.ai/showcase/26E4238 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/ecfc6138a8184e66a7c70f506c1bc27b/b0a7fe7e18594df58a7f20ff03b4d686.mp4 MarketPulse: Smart AI Stock Portfolio, Trading & Investment Platform With the increasing participation of individuals in stock market trading and investing, there is a growing need for a modern and intelligent platform that simplifies market analysis and portfolio management. Existing solutions often lack real-time insights, intuitive visualization, or an integrated view of investments. This creates difficulty for users in tracking performance and making timely, data-driven decisions. A smart, web-based stock portfolio and trading platform is required to provide live market data, efficient portfolio tracking, and meaningful stock analysis in a single, user-friendly system. https://projexa.ai/showcase/26E4045 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/bb05854d9a494f4688f09862b3334e08/61d604a959a04835ad430ed1196e9941.mp4 UniQuery AI – An AI-Powered Student Support and Academic Query Assistance System In universities and colleges, students frequently face difficulties in accessing accurate academic information such as syllabus details, examination schedules, attendance rules, academic regulations, and official notices. This information is usually scattered across multiple documents, websites, and notice boards, making it time-consuming and confusing for students to find correct answers. Due to limited administrative staff availability, repetitive student queries also increase workload on faculty and administrative offices. Additionally, existing systems lack intelligent search and conversational interfaces, forcing students to manually browse lengthy PDFs and documents. Therefore, there is a need for an intelligent, reliable, and centralized system that can provide instant, accurate, and document-based academic information to students in a user-friendly manner. https://projexa.ai/showcase/26E4187 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/61ac44de1e344966bacd61741915c574/1290df4d7a9e4d7ba4f29345bfdad79e.mp4 Scalable Code Submission Platform with Real-Time Contests and Ranking System Competitive programming platforms need to handle thousands of simultaneous code submissions, provide instant feedback, run secure code execution, maintain fair ranking systems, and offer engaging contest experiences. Educational institutions need similar platforms for assignments and exams with plagiarism detection. https://projexa.ai/showcase/26E4199 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/a329c096590d476097298524446283c2/d3887e8bd064416b972e121c8a33266b.mp4 Proctored Course with 4 Modules In order to strengthen the technical and analytical skills of our students and enhance their placement readiness, we require the suggestion of a Proctored Course that will comprehensively cover four critical modules: 1. Aptitude & Reasoning Skills Quantitative Aptitude: Numbers, Algebra, Probability, Permutations & Combinations, Data Interpretation Logical Reasoning: Puzzles, Seating Arrangement, Syllogisms, Series Verbal Ability: Grammar, Reading Comprehension, Vocabulary 2. Data Structures & Algorithms (DSA) Arrays, Strings, Linked List, Stack, Queue Trees, Graphs, Hashing Searching, Sorting, Dynamic Programming 3. Database Management Systems (DBMS) & SQL ER Model, Normalization SQL Queries (Joins, Subqueries, Aggregation) Transactions, Indexing, Keys 4. Programming + Core CS Fundamentals One strong programming language (C++/Java/Python) Object-Oriented Programming (OOP) concepts Basics of Operating Systems (Processes, Deadlocks, Scheduling) Basics of Computer Networks (OSI Model, TC https://projexa.ai/showcase/26E4152 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/c3b4cf575f774b94b15f2977d320b2ab/b7a8691f2a394064b6ba4ec034f81033.mp4 SmartReception: An Autonomous AI Voice Agent for Automated Appointment Scheduling and Customer Support In the modern business environment, effective communication is the backbone of customer satisfaction. However, Small and Medium Enterprises (SMEs) face a significant challenge: the 'Missed Call Dilemma.' > Currently, businesses rely on human receptionists who are limited by fixed working hours, human fatigue, and the inability to handle multiple calls simultaneously. During peak hours or after-hours, calls often go to voicemail or remain unanswered, leading to a direct loss of revenue and customer trust. Furthermore, existing automated solutions—legacy IVR (Interactive Voice Response) systems—are rigid, frustrating for users, and lack the intelligence to handle complex natural language queries or perform cross-functional tasks like booking a live calendar appointment https://projexa.ai/showcase/26E4104 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/7b30d6b19e1f46b5a30eef31801677fd/b635a910069843a590cbbe6c728f869d.mp4 Machine Learning–Based Employee Appraisal System for HR Departments Performance appraisal in many HR departments is largely manual, subjective, and periodic, leading to bias, inconsistency, and delayed feedback. Despite available employee data (attendance, task completion, feedback), organizations lack intelligent analysis systems. Traditional methods fail to provide continuous, objective, predictive insights. Need: ML-based system for fair, transparent, data-driven evaluations. https://projexa.ai/showcase/26E4088 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/446ab3ec00594f3ea8be1d6b842f148e/bf0c2b43155c427485ab935a05e0645b.mp4 AI-Based Classroom Inspection & Faculty Presence Reporting System Universities use CCTV cameras in classrooms to monitor whether classes are being conducted properly. Currently, CCTV technicians manually watch camera footage and prepare daily Inspection Reports for the Academic Affairs department. This process is: -Time-consuming -Prone to human error -Not scalable for large campuses -Dependent on staff availability With dozens of classrooms and hours of footage, this manual monitoring wastes manpower and delays reporting. https://projexa.ai/showcase/26E4094 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/51bb058527944a469399ef2683f63e7f/f0128b9a62b848ae9256e523bdd32008.mp4 Cyberbullying Detection on Social Media Cyberbullying on social media platforms causes psychological harm and violates user safety. Manual monitoring is inefficient due to the large volume of user-generated content. This project aims to develop an automated system that detects cyberbullying text in social media posts and comments using natural language processing and machine learning techniques. The system classifies content as bullying or non-bullying and helps platforms take preventive actions. https://projexa.ai/showcase/26E4001 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/34e8450cd2b246389374c9d713258a8c/34180b5263274048a14475f2b9021230.mp4 MockStar – (AI-Powered Mock Interview Platform That Simulates Real HR Interviews Using Resume-Based Questioning & Body-Language Analysis) Traditional mock interview systems ask static, repetitive questions and fail to simulate a real HR interview. They do not analyze the candidate’s resume, cannot generate adaptive follow-up questions, and completely ignore non-verbal communication such as eye contact, expressions, and posture. This leads to poor interview preparation and low confidence among students. https://projexa.ai/showcase/26E4041 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/1ae08e89a9924a25a5f0fe60bd796909/69803008fc5c4238a6f43b8908e28cf4.mp4 Immutable Academic Credential Verification System The proliferation of counterfeit academic degrees and certificate fraud is a critical issue facing educational institutions and employers in India. Current verification processes are manual, time-consuming (taking weeks via email/post), and prone to administrative errors or corruption. There is no centralized, tamper-proof mechanism for third parties (employers/embassies) to instantly validate the authenticity of a candidate's qualifications without relying on the university's availability or intermediate agencies. https://projexa.ai/showcase/26E4165 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/147fd18d23d64ee8acf0def682d70896/801ade137f7045ceaf1a3bd6139aab57.mp4 A Multi-Agent LLM Architecture for Efficient and Scalable Problem Solving Multi-Agent System where multiple AI agents, powered by LLMs, coordinate to accomplish a single complex task. Instead of relying on one large model to handle everything, we distribute the workload across specialized agents—frontend, backend, documentation, and orchestration—enabling more efficient, cost-effective, and human-like collaboration. The project reduces token wastage, increases context handling, and creates a workflow that mirrors how human teams operate: by breaking tasks into smaller, specialized responsibilities and coordinating results into a unified outcome. https://projexa.ai/showcase/26E3071 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/c611dc3cdee64a6d8a0a3d19c234f468/b12482fc11624010b8e24c2b82591b54.mp4 IoT AI Copilot for No Code Recovery Systems Robotic systems used in civilian and defense applications are increasingly deployed for long duration and high risk operations such as surveillance, firefighting, inspection, logistics, and reconnaissance. In these environments, component level issues such as sensor failure, controller instability, wiring damage, or module replacement are common and expected. When such issues occur, restoring operation typically requires firmware changes, system reassembly, or specialist intervention, which is often impractical during field operations. This leads to grounded drones, immobilized robots, and aborted missions even when the mechanical platform remains functional. The problem is not the lack of hardware, but the lack of a flexible control unit that can quickly adapt to replaced or reconnected components without requiring code level reconfiguration. https://projexa.ai/showcase/26E3052 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/5127fbeb2ef443ccb65a10ada4d5cb0e/da67be73913d4941a97180201265675a.mp4 Smart Grid Load Prediction Using Deep Learning Power grids face instability due to fluctuating demand. Static forecasting systems are ineffective. The project focuses on designing a deep learning-based system to predict power load and support efficient grid management. https://projexa.ai/showcase/26E3212 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/96d9cce83677447bbb346ec6bffaf1ae/1a49e34a2a4f421fbad08280a6ce6ec3.mp4 Design and implement an optimized bus routing system to improve travel efficiency, reduce fuel consu Universities operate multiple buses for student and staff transportation across different routes and time slots. These routes are often fixed and manually planned, leading to issues such as longer travel times, overcrowding, uneven bus utilization, and increased fuel costs. This project aims to develop a data-driven bus route optimization system that computes optimal routes and schedules based on bus stops, student demand, and distance. The system assists transport administrators in planning routes and provides students with clear, optimized bus schedules. https://projexa.ai/showcase/26E3216 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/94c5fd01ecad4326acd44dfc78ce72bd/96021fb43b594c79bdb41da2d08da368.mp4 AI-powered Multi Agent System for RFP (Request for Proposal) Response Automation The goal is to scale RFP responses using AI. The client wants to further drive of the B2B business channel. Given that their past growth has been on B2B RFPs, they have now significant credentials and see their team having the “right to win” in this segment. Given the rapid growth in the past few years, they are now facing bottlenecks in RFP response process which are impacting their ability to respond to RFPs on time. Upon analyzing the past wins and losses on large RFPs, the client has identified the following. - 90% of the wins correlated to RFPs which were received and actioned on time. - 60% of the wins correlated to RFPs where adequate time was provided for the technical team to match product requirements with RFPs. - Technical product SKU matching RFP requirements takes the most time in the process. - Delays in RFP submission significantly reduced the chances of winning. The client wants to improve the number of RFPs responses (per year) and the timely response by using an Agentic AI approach. The solution must simulate the B2B RFP response process through a Sales agent and Technical Agent which automates the process of identifying an RFP on time and maps the right SKUs with the RFP. https://projexa.ai/showcase/26E3203 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/f9993610d0734324871d58d81c4dde4a/56f9705aadd54cde8de04ca6fd97fae1.MOV University Placement Management System The current placement process in many universities is managed manually using spreadsheets, emails, and WhatsApp groups. This leads to difficulties in maintaining student records, tracking eligible candidates, managing company requirements, scheduling interviews, and generating placement statistics. Students often miss important updates, and placement coordinators spend significant time managing repeated queries and manual data entry. There is a need for a centralized digital platform where students, placement officers, and recruiters can interact efficiently and transparently. https://projexa.ai/showcase/26E3170 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/8f2e243f029045a49643d73a343a0e29/2d537e029420432e9dd6ff2b4f09d6c0.mp4 ReelBite: Discover Food Through Short Videos Existing food discovery platforms primarily depend on static images, text reviews, and ratings, which often fail to accurately represent the appearance, quality, and portion size of food items. This makes it difficult for users to confidently decide where and what to eat. Additionally, many local and small-scale restaurants lack an engaging and affordable way to promote their dishes digitally, resulting in limited visibility and reduced customer reach. https://projexa.ai/showcase/26E3056 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/3e91d34b726b48d7ac38dd3e697cb8e3/d6e1a311a19d4523812a2c344548bd60.mp4 GreenAudit – Campus Sustainability & Carbon Tracker A dashboard that tracks energy use, water consumption, waste management, and carbon footprint of campuses and suggests improvements. https://projexa.ai/showcase/26E3330 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/389382357e9446a9af7e742873af510a/841ebb05bc414fcfa1ad4bec4df974d6.mp4 IoT-Based Intelligent Traffic Monitoring and Congestion Prediction System Conventional traffic monitoring lacks real-time physical data integration. This project integrates IoT sensors and embedded systems with AI-based software to monitor traffic density, predict congestion, and transmit actionable insights to centralized control systems. https://projexa.ai/showcase/26E2027 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/234b27e8b73f4b4f8bdef9546b56b2a5/ba5a70e471244ac8804af49c1611663f.mp4 AI-Powered Dataset Discovery and Intelligent Analysis Platform In data-driven projects, students, analysts, and machine learning practitioners spend significant time searching for relevant datasets across multiple platforms such as Kaggle, GitHub, HuggingFace, and government open-data portals. Existing solutions either provide large unfiltered repositories or basic keyword-based searches, which often return irrelevant or low-quality datasets. Additionally, users must manually download datasets and perform exploratory data analysis (EDA) to evaluate their usability, resulting in repetitive effort and productivity loss. There is currently no unified platform that intelligently discovers datasets from multiple sources, ranks them based on relevance and quality, and provides automated insights before download. This gap leads to inefficiency, poor dataset selection, and increased development time in data science workflows. https://projexa.ai/showcase/26E2104 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/35691824306643f2882e2ab20eaf116d/a6ebc9305688444897540039bf2ea6ae.mp4 Monastery360: Unified Digital Platform for Monastery Exploration, Event Management, and Personalized Itinerary Planning in Sikkim Spiritual tourism and monastery exploration in Sikkim faces significant challenges in discovery, planning, and personalization: Current Pain Points: Limited Digital Access: Tourists lack immersive digital previews of monasteries and events before visiting Fragmented Information: No unified platform for monastery details, events, accommodations, and guides Poor Itinerary Planning: Manual coordination of transport, accommodation, activities across scattered sources Lack of Personalization: Generic recommendations without considering traveler preferences, budget, or interests Community Isolation: No platform for travelers to share experiences, ask questions, or build communities Data Silos: Event information, ratings, and travel guides scattered across multiple platforms Accessibility Issues: Tourists find it difficult to plan spiritual journeys without proper digital tools Market Context: Sikkim receives 500,000+ tourists annually, but only 20% visit monasteries 65% of tourists spend <2 hours researching before arrival No unified monastery information platform exists in the region Growing demand for immersive digital experiences (360° tours, virtual previews) https://projexa.ai/showcase/26E2130 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/e236249891b04fa1bc4fd0121bb94a04/e8d945e674594683bf029556f1d9884b.mp4 LLM-Based Knowledge Retrieval System for Internal Documents Organizations store large volumes of documents such as policies, reports, manuals, and emails. Employees often waste time searching for correct information because traditional keyword-based search systems do not understand context or intent. Recent advances in Large Language Models (LLMs) offer the ability to understand natural language queries and generate meaningful answers. However, applying LLMs to private organizational data raises challenges related to accuracy, hallucination, and data security. This project focuses on designing and evaluating an LLM-based document question-answering system that retrieves answers only from authorized internal documents and compares its effectiveness with traditional search approaches. https://projexa.ai/showcase/26E2011 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/7addb2402c3a4090872b4fc605d40c36/118d3f182dba47c2b5e2ac58d7fb5d7b.mp4 SmartSaathi – An AI-Based Voice Companion for Elderly Healthcare and Emergency Assistance Elderly individuals living independently often face challenges such as missed medications, inadequate hydration, lack of routine health monitoring, and delayed help during emergencies. Most existing digital health solutions are complex and not designed for senior-friendly usage, especially for those with limited digital literacy or physical constraints. SmartSaathi addresses this problem by providing a voice-enabled, AI-based companion that assists elderly users in managing daily health routines through medication reminders, hydration alerts, and well-being tracking. It also acts as a safety partner by enabling SOS alerts, live location sharing, and emergency notifications, promoting safe and independent living. https://projexa.ai/showcase/26E2109 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/629db9af08024e84a8752cfe9cadfbbf/5f4b216368994bc487d52be00c5f16bc.mp4 Admin Management Portal As Thrylos grows, managing employees and interns manually becomes inefficient and error-prone. Attendance tracking, work reporting, internship monitoring, and certificate issuance are often handled using spreadsheets, messages, or emails, leading to data inconsistency, lack of transparency, and increased administrative effort. https://projexa.ai/showcase/26E2018 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/8440cd9ee7ea4995801edff469b4e553/fcfcdbd8d26342b0af0fb7074eb88915.mp4 KRMU – Smart College Event & Attendance Management System In many educational institutions, the management of college events and student attendance is still handled through manual or semi-digital methods such as Google Forms, spreadsheets, emails, and physical attendance sheets. These approaches often lead to miscommunication, duplicate entries, event schedule clashes, and difficulty in maintaining accurate participation records. Students may miss important event details, while faculty members face confusion in updating attendance received from multiple coordinators. There is currently no centralized platform that automatically manages event information, student participation, and attendance communication between coordinators and faculty. This lack of automation increases administrative workload and reduces the efficiency of event management within the college ecosystem. https://projexa.ai/showcase/26E2099 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/ae75163d88f141f4a37f16c40a7ffec8/1c364df7575d43738503752f8f5c8adc.mp4 Autonomous Quadruped for Surveillance and Research Across the world, monitoring hazardous or confined spaces like labs, warehouses, or disaster sites involves risks from uneven terrain, stairs, and debris where wheeled robots fail and human entry is unsafe. Our builds Quadrupeds handle rough terrain effectively but lack robust IoT integration for long-duration missions, advanced environmental sensing, and secure real-time data streaming to research teams. https://projexa.ai/showcase/26E2021 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/f979fa71c33c4830a06222ee84be38cb/23b503d634fb401581f4a58a50b04cbd.mp4 Silent Health Failures in Companion Animals Due to Delayed Detection Companion animals often suffer from serious health issues that go unnoticed until it is too late. Unlike humans, animals cannot verbally communicate discomfort or early symptoms. Pet owners frequently normalize subtle behavioral changes—reduced activity, appetite changes, mood shifts—as temporary or harmless. Veterinary visits are typically reactive, triggered only when symptoms become severe, making early diagnosis rare. This leads to preventable deaths, emotional distress for owners, and higher treatment costs. The absence of continuous, objective health monitoring for pets is a critical gap in preventive animal healthcare https://projexa.ai/showcase/26E2046 2026-04-25 monthly 0.8 https://cdn.projexa.ai/project-completions/d0edc57f960e49db8cb9b833f7ed1249/eab1ae3004b14015b8ed67b599c5fc1e.mov Employee Task & Work Visibility Management Platform In many companies, employees work on many tasks at the same time, but there is no clear system to track what work was done, how much time was spent, or what output was produced. Most task reviews depend on verbal updates or personal opinions instead of proper records. This makes it hard to ensure transparency, fair workload distribution, and objective performance evaluation. This project aims to build an Employee Task & Work Visibility Platform where tasks are clearly assigned, employees regularly update their work, upload proof such as screenshots or documents, record time spent, and track task progress. Each task will have clear status levels like Pending, Completed, and Cancelled, along with a simple approval process so managers can review and confirm task completion easily. https://projexa.ai/showcase/25O4058 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/2c1b2c452010493bb50102178e7b8db4/3af194659a19482283d3bc671b8ea639.mov Hybrid CNN-ResNet18 Framework for Accurate Brain Tumor Classification Using MRI Brain tumors are a serious health issue, and detecting them early can really improve the chances of successful treatment. At the moment, doctors mostly rely on manually checking MRI scans to find and identify tumors, which takes a lot of time and can lead to mistakes. This makes it important to have an automated system that can help doctors by analyzing the images more quickly and accurately. The aim is to create a system that is reliable, easy to use, and able to correctly classify different types of brain tumors like glioma, meningioma, and pituitary tumors, or even tell when there is no tumor at all. https://projexa.ai/showcase/25O4061 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/94c0dfea7e4542968d9c0af23bace601/ca2c5a701e5d480eb11902322d1e9192.mp4 Digital Document Verification System Using Blockchain and SHA-256 Hashing Digital documents are vulnerable to tampering and forgery, making traditional verification methods inefficient and unreliable. This project aims to build a secure system that uses SHA-256 hashing and blockchain technology to verify the authenticity of documents. By storing the document hash on the blockchain via smart contracts, the system ensures any modification can be instantly detected during the verification process, providing a tamper-proof and transparent solution. https://projexa.ai/showcase/25O4104 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/81cbf0093cfb4f268025dea8a515ff3e/9c6dea4acd6342bc991751da64a091e2.mp4 SmartDrive: AI-Powered Secure Cloud Storage Platform This project aims to develop a secure, scalable, and intelligent personal cloud storage platform that allows users to upload, manage, and access files from any device. The system will integrate Artificial Intelligence to enhance file organization, searchability, and categorization. Unlike traditional cloud storage systems, this solution uses machine learning to tag files automatically, classify content (e.g., images, documents, invoices), and perform semantic search, enabling a smarter and more intuitive user experience. https://projexa.ai/showcase/25O4065 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/0bb756d69a724beba95e0c3d62327f02/5516805c03c44274b9428ef9c03cec90.mp4 Human-Centric Autonomous Travel Agents: A LangChain and RAG-Based Approach This project aims to build an Al-powered autonomous travel planner using Langchain and Large Language Models to automate personalized trip planning. The agent will interact with users in natural language, retrieve real-time data (e.g., flights, hotels, weather), and generate optimized itineraries. It addresses a key need in the TravelTech industry for intelligent, end-to-end travel assistants that enhance customer experience through automation and personalization. https://projexa.ai/showcase/25O4030 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/80315b2649c247c28e107cb6ad9b5a48/89d1743c76794ab891aa09fde9a72274.mov AI-Powered CCTV Surveillance System End-to-End AI CCTV System for Industrial Site Monitoring: This project aims to design and deploy an AI-powered CCTV surveillance system that can monitor multiple live camera feeds in real time to detect unauthorized human intrusion at remote solar power plants. The system leverages computer vision techniques to identify intruders, and upon detection, it triggers instant alerts and activates an alarm system for immediate response. It also has a webvdashboard for analytics. https://projexa.ai/showcase/25O4100 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/ab38b82359d8426fbed6f973b2e2fde0/0b9099964be1472999baa23ec35b9634.mp4 eLINE – Digitize Your Queues. Respect Their Time Waiting at a barber shop has always been an unavoidable frustration. Imagine this: you walk into your neighborhood barber shop for a quick haircut, only to find 5–6 people already waiting. There’s no proper queue management, no clear idea of when your turn will come, and no way to use your time efficiently while waiting. Customers often sit idle for 30 minutes to an hour, scrolling through their phones, feeling their time is being wasted. Some even leave temporarily to grab tea or run errands, asking the barber to “hold their spot,” which leads to confusion, skipped turns, and tension among other customers. From the barber’s perspective, this unorganized waiting system also has consequences. Customers get irritated and may leave, resulting in lost business. The constant “Am I next?” questions create a stressful working environment. This inefficient system has existed for decades, even in busy urban areas, because barbers haven’t had access to a simple, affordable digital solution. Time is the real cost here — both for customers who lose productive hours and for barbers who risk losing business due to poor queue management. In today’s world, where almost everything is becoming on-demand and time-efficient, the traditional barber shop experience feels outdated and inconvenient. https://projexa.ai/showcase/25O4050 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/6a688cfa9fb347a38aba3baf7cbab952/79fe37ffe9f644378142203cb0618eb6.mp4 Realpropfirm.com (a web based comparative and review platform for Financial firms and proprietary trading firms) Propfirms are knowns as the registered Firms which funds traders to trade for them on a contract basis and give them a % share of the profits they made using their funds in the market (markets here referred as crypto, Forex, Commodities, Indices, Futures etc) This is the Best oppurtunity for traders who has ability to understand the markets, skills such as risk management to make enough profits, Grasp on the subject of Pyschology to understand the basic fundamentals of markets and how it gets effected by the economy. Huge number of traders has this ability but they dont have Funds to prove themselves as profitable trader, This is where propfirms comes in to provide and fulfill the needs of a trader. This is a huge market and a growing industry in Finance. As of now many propfirms have took their place in the industry by different rules, contracts, options, pricing and availability. So here we are Realpropfirm.com solves the traders stress to choose which propfirm is best and better for them according their trading skill https://projexa.ai/showcase/25O4032 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/df7ca7a8687c48619a4a621b9cb2bd98/70c96b96083f410bb4e835daf37cd82e.mp4 Scalable Job Portal with Resume Storage and Filtering Project: Scalable Job Portal with Resume Storage and Filtering 🧩 Scenario Summary: Recruiters need a cloud-based platform where they can: Post job openings Receive and store resumes Automatically extract and filter candidate information Send alerts or interview notifications https://projexa.ai/showcase/25O4036 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/f11d6023baa94c3980b9134c146ea919/6d1e460d2a3540639e2715a7d7b7715b.mp4 Smart Inventory and Resource Management System for SOET School manage thousands of assets – lab equipment, classroom tools, books, etc. Manual tracking is error-prone and lacks transparency. This system ensures real-time inventory tracking, barcode/QR code tagging, and lifecycle management of institutional assets https://projexa.ai/showcase/25O4047 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/da3ef7d1c2ab456d9502f010ec1e1f7e/a635373da6984763a0503cabd4654f8b.mp4 Scalable Job Portal with Resume Storage and Filtering This project focuses on developing a cloud-based job portal that enables recruiters to post job openings, collect and store resumes, automatically extract candidate details, and filter applicants based on relevant skills and keywords. The system ensures scalability, security, and automation through AWS cloud services, providing a reliable recruitment management solution. https://projexa.ai/showcase/25O4071 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/cdd656c4bf54479d8f35e8971f704e45/081bb71388434d0d91db0eb9909b4d4a.mp4 Ai Interview Site An AI platform that simulates realistic job interviews to help job seekers practice. Users input job role, experience level, tech stack, and the system generates tailored questions. It provides AI-based feedback on clarity, content, and technical accuracy, along with scoring and improvement suggestions. https://projexa.ai/showcase/25O4093 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/13ce51bec7ca478f89dda174420b5f9e/29ce24351f364bf489f611b8318947fe.mp4 AthletiX AthletiX is a next-generation sports management platform tailored for educational institutions and professional sports bodies It bridges the gap between athletes, coaches, fans, and organizers by offering a centralised system for team coordination, event management, performance tracking, fan engagement, and financial administration The app aims to empower stakeholders with a unified interface to make informed decisions, streamline operations, and promote sports participation and engagement https://projexa.ai/showcase/25O4046 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/1a0d0a00d0a44a98b6d4f7e79a515e55/0d5be81cdea04a03bbdf0d138a478c83.mp4 Planet Purr : Byte Sized Impact Many individuals, especially younger audiences, want to help solve global issues but often feel overwhelmed or disconnected from traditional activism channels. Long-form content, complex jargon, and emotionally heavy messaging can cause disengagement, leaving awareness efforts limited in reach and impact. Despite growing global efforts, awareness and understanding of the United Nations Sustainable Development Goals (SDGs) remain limited, especially among younger audiences. Educational outreach often lacks engagement, accessibility, and fun — making it harder to inspire real-world interest or action. There is a need for interactive tools that simplify, gamify, and personalize the way people learn about these global goals. https://projexa.ai/showcase/25O4019 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/9282d53400544369af2468f86b6e0174/104ab8285a864a25a474e3858f926c74.mp4 SEOtron In today’s fast moving digital world, businesses can’t afford to disappear from search results. Being easy to find on Google and other search engines is essential, but keeping those rankings high takes constant effort. Tasks like finding the right keywords, checking site performance, improving content, and keeping track of competitors can take up a lot of time if done by hand. The challenge is that search engines keep changing their rules, and the online market shifts quickly. This often means: 1. It’s hard to grow SEO efforts without spending too much time and money. 2. Problems are noticed too late, leading to a drop in visibility. 3. Opportunities to attract more visitors are missed because information isn’t upto date. As a result, many businesses struggle to keep a steady flow of visitors from search engines. https://projexa.ai/showcase/25O4072 2025-12-11 monthly 0.8 https://cdn.projexa.ai/project-completions/ac34f2ab099f4e53b9d10dcfde7dece7/2815ee3ec9144afdb9ff9d2f2679f3bf.mp4 CloudLepton DMS Traditional school administration relies heavily on manual record-keeping for attendance, grades, fee management, and communication. This leads to inefficiency, data errors, delayed reporting, and lack of real-time insights for teachers, students, and parents. There is a need for a centralized, automated, and intelligent school management platform that streamlines administrative tasks, improves communication, and provides data-driven decision-making