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This project is an AI-powered Multi-Agent Research and Opportunity Matching System designed to connect students, researchers, and startup founders with the most relevant opportunities worldwide. Instead of spending hours browsing different platforms for scholarships, grants, or startup funding, the system automates the entire process through multi-agent collaboration and intelligent data matching. It collects fresh information from trusted websites using web scraping, structures the data into clean formats, and matches it to user profiles based on academic background, research interests, or startup goals. The system has specialized AI agents with distinct focus areas. The Research Agent helps students by matching them with scholarships, fellowships, and exchange programs that fit their CGPA, degree level, and financial needs. The Innovation Agent supports researchers by identifying grants, collaborations, and fellowships aligned with their domains and project ambitions. The Startup Agent caters to founders and entrepreneurs, connecting them with startup grants, accelerators, and funding opportunities suited to their business domain and stage. It also employs natural language processing with LLaMA models, which explain opportunities in clear, student-friendly terms. A responsive interface built with Streamlit ensures smooth interaction, allowing users to explore personalized recommendations presented with match scores and reasoning on why each opportunity is a good fit. By combining automation, AI-powered matching, and multi-agent collaboration, this system offers a scalable solution that democratizes access to global opportunities. It empowers students to reduce financial burdens, researchers to accelerate innovation, and founders to access funding networks through a single intelligent gateway.
21 Sep 2025
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MindTrack AI is an AI-powered mental health companion designed to help users track their emotions, reflect on their thoughts, and receive supportive guidance in a safe, non-judgmental environment. Many people struggle with stress, anxiety, loneliness, or relationship challenges, but hesitate to share their feelings with friends or family. MindTrack AI addresses this by providing a personal journaling and chatbot experience that is always available. Users can log daily entries about their mood, thoughts, and experiences. These entries are analyzed using NLP and sentiment analysis via the GPT-5 API to understand emotional patterns over time. The dashboard displays trends and insights, helping users identify patterns, triggers, and improvements in their mental health. The platform also includes an AI-powered chatbot that acts as a supportive therapist. The chatbot references past and current entries to engage in meaningful conversations, offering empathetic guidance without judgment. MindTrack AI emphasizes privacy, accessibility, and ease of use. It provides users with a structured way to reflect on their mental health while encouraging healthy habits of self-awareness. MindTrack AI empowers users to understand their emotions, track progress, and take care of their mental well-being, making mental health support accessible for everyone.
24 Aug 2025
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GroqRAG is a hybrid Retrieval-Augmented Generation (RAG) system built for high-speed, high-accuracy AI-powered question answering. It leverages the local processing capabilities of Metaβs LLaMA 3.2 via Ollama for generating context-rich embeddings, and pairs it with Groqβs lightning-fast inference engine to generate precise and relevant responses. Users can ask questions based on custom documents, and the system retrieves, ranks, and responds using modern open-source LLM tooling. The app is built with Streamlit for easy interaction and is optimized for local testing, demos, and educational use β blending both local (Ollama) and cloud (Groq) intelligence in one powerful chatbot.
8 Jul 2025

Project Name: SmartCoder Developers face challenges such as: Manual Code Reviews: Time-consuming and error-prone. Boilerplate Code Generation: Tedious and repetitive. Test Case Generation: Labor-intensive and often incomplete. Code Documentation: Frequently neglected, leading to maintenance issues. So SmartCoder AI leverages Codestral to automate and enhance software development, addressing these challenges with: AI-Powered Code Review Assistant which analyzes code structure and quality, detects bugs and enforces coding standards, provides improvement suggestions. Intelligent Code Snippet Generator: Generates code snippets from natural language descriptions, customizable and integrates common libraries. AI-Driven Test Case Generator: Generates comprehensive test cases and provides coverage reports. Code Documentation Generator: Parses code and generates human-readable documentation. Market Value Code Review Assistant: Ensures consistent code quality, saving time. Code Snippet Generator: Speeds up coding and reduces errors. Test Case Generator: Enhances code reliability and saves time. Documentation Generator: Maintains comprehensive code documentation, crucial for large and open-source projects. Conclusion "SmartCoder" automates critical aspects of software development, improving productivity, code quality, and efficiency. It meets the high demand for automated development tools, making it a valuable asset for development teams.
17 Jul 2024